Data Scientist Decision Science Skills Graph Insights

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.

At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.

We’re looking for a talented, creative, and collaborative data scientist to support decision-making for Coursera’s Skills Graph and its product applications. Our Skills Graph is  a foundational data asset powered by NLP and crowdsourcing that maps a robust library of skills to the content that teaches them, the careers that require them, and the learners who have or want to learn them. Product applications of Skills Graph range from skills-based search and recommendations to real-time learner skill tracking.  Our ideal candidate has excellent analysis and statistical modeling skills, strong written and verbal communication, and an interest in expanding the reach and quality of online education.

Responsibilities:

Develop metrics to evaluate the success of key Skills Graph product initiatives
Estimate the potential impact of proposed projects in order to inform our Product and Business teams’ prioritization decisions
Develop our understanding of Coursera’s products, business, and learners by analyzing learner and enterprise admin behavior to uncover patterns and identify opportunities for improvement
Distill insights from complex data and/or data product results; build efficient and scalable insights; communicate findings clearly to both technical and non-technical audiences
Work closely with data engineering and engineering teams to ensure that new projects and products are launched with clear instrumentation to support experimentation and measurement plans
Partner with other data scientists to develop measurement plans for new data product launches and to share context from different areas of the business and build a more complete and consistent understanding of what data tells us about our learners

Basic Qualifications

Background in applied math, computer science, statistics, or a related technical field
2+ year of demonstrated history applying statistical inference techniques to business questions
Excellent business intuition, cross-functional communication, and project management
Strong applied statistics and data visualization skills
Proficient with at least one scripting or statistical language (e.g. R or Python)
Proficient with relational databases and SQL

Preferred Qualifications

2+ years of experience using data to advise product or business teams
Ph.D. in applied math, statistics, economics, or a related technical field
Experience in causal inference methodologiesTrack record of peer-reviewed publications

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.

Please review our CCPA Applicant Notice here.


Senior Data Scientist

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 87 million registered learners as of June 30, 2021. Coursera partners with over 200 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.

At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.

In this role, you will partner with our regional Marketing teams -- focusing initially on India and Western Europe -- to define localized strategies that take into account trends in each market and differences in learner needs and expectations.  By helping to guide strategy, explore differences through behavioral data, and establish measurement plans for new initiatives, you will help the team craft regionally competent and globally scalable marketing plans and practices and pave the way for further investment in new markets around the world.

Responsibilities:

Analyze site behavior and channel response data to surface insights and strategic recommendations to better customize marketing efforts to new regions.
Work with marketers to define, execute, and analyze experiments that increase our understanding of how best to reach new and existing learners in priority regions.
Assist marketing and finance teams in defining goal metrics and setting targets for regional marketing initiatives and reporting progress against those goals back to leadership.
Collaborate with local corporate strategy, user research, and product marketing team members to identify and address strategic questions for priority regions.
Partner with data engineering and operations teams to ensure that business stakeholders have easy access to and training to accurate interpret key metrics that inform their day-to-day work.

Basic Qualifications:

4+ years of experience using data to advise product, business, or services teams
2+ years of experience applying statistical inference techniques to business questions

Preferred Qualifications:

Background in applied math, computer science, statistics, or a related technical fieldExcellent business intuition, cross-functional communication, and project management
Strong applied statistics and data visualization skills
Proficient with at least one scripting language (e.g. Python)
Proficient with at least one statistical software package (e.g. R, NumPy/SciPy/Pandas)
Proficient with relational databases and SQL

If this opportunity interests you, you might like these courses on Coursera:Drafting notes: Marketing Analytics
Data-Driven Decision Making
Introduction to International Marketing

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.

Please review our CCPA Applicant Notice here.


Senior Data Scientist

Don’t just land a job. Launch your future.

Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.

But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business.

Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.
Let's go forward together.

Position Overview:
Paylocity is growing its Data Practice Organization! Our Data Science Team is responsible for developing machine learning solutions to meet clients needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. One example of an interesting project we have been working on is that we recently released our Modern Workforce Index, which leverages machine learning to help employers measure and improve employee engagement. This product had direct CEO oversight and was a close collaboration with our Data Engineering and Data Insights teams.

As a Senior Data Scientist in Product & Technology, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Location: 100% Remote
Reports To: Manager Data Science

Responsibilities:
Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networksLeverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and SparkCollaborate with Product Owners, Enterprise Architects, Software Development Managers, and other executives to translate complex human capital management challenges into data science projectsConduct ad-hoc analyses and present results in a clear mannerCreate automated data and modeling pipelines and develop custom performance trackingWork closely with full stack software engineers in an agile product development environment to deliver machine learning software features
Requirements:
Bachelor’s degree required.4-7 years of data science success at other software companiesExperience in writing production grade machine learning models in PythonExperience with cloud infrastructure on AWS or AzureDemonstrated ability to leverage data science to drive business resultsSkilled at translating business problems into data science problems and communicating the results to non-technical audiencesAble to work in a collaborative environment with a desire to share your ideasAble to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team membersSelf-motivated, adaptable, and highly detail oriented
Preferred Skills:
Advanced degree (Masters or PhD) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, other quantitative field preferredProfessional or academic experience in HR, social science or psychologyEnthusiastic about advanced analytics and how predictive insights lead to a superior customer experienceBe invested in staying current in data science by applying new technologies and practices
Our journey forward.

Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture.

We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:

Education & AwarenessClient CommunityCompany RepresentationAdvocacy & SupportFairness & EqualityPCTY Gives
Want to learn more, click here to access our DEI flipbook.
https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.html

This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.

This role can be performed from any office in the US. The pay range for this position in Colorado is $110,000.00 - $159,450.00; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.


Data Scientist

Don’t just land a job. Launch your future.  Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business. Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.Let's go forward together.Position Overview:Paylocity is growing its Data Practice Organization! Our Data Science Team is responsible for developing machine learning solutions to meet clients needs in  domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. One example of an interesting project we have been working on is that we recently released our Modern Workforce Index, which leverages machine learning to help employers measure and improve employee engagement. This product had direct CEO oversight and was a close collaboration with our Data Engineering and Data Insights teams.
As a Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Location:  Remote
Reports To:  Data Science ManagerResponsibilities:
Select feature, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark   Collaborate with Product Owners, Enterprise Architects, Software Development Managers, and other executives to translate complex human capital management challenges into data science projects?  Conduct ad-hoc analysis and present results in a clear manner Create automated data and modeling pipelines and develop custom performance trackingWork closely with software engineers in an agile product development environment to deliver machine learning software features
Requirements:
Bachelor’s degree required.  2-5 years of data science success at other software companies Experience in writing production grade machine learning models in Python  Experience with cloud infrastructure on AWS or Azure Demonstrated ability to leverage data science to drive business results Skilled at translating business problems into data science problems and communicating the results to non-technical audiences Able to work in a collaborative environment with a desire to share your ideas Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members
Preferred Skills:
Advanced degree (Masters or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, or other quantitative field preferred
Our journey forward.
Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture. We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:
Education & AwarenessClient CommunityCompany RepresentationAdvocacy & SupportFairness & EqualityPCTY Gives
Want to learn more, click here to access our DEI flipbook. https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.htmlThis job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.

This role can be performed from any office in the US. The pay range for this position in Colorado is $87,545.00 - $133,804.00; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.


Data Science Intern Summer

Don’t just land a job. Launch your future.
Our all-in-one software platform gives HR pros a way to easily manage daily tasks in payroll, benefits, talent, and workforce management.
But what makes us different is that our technology is backed by a culture that cares. We care about our team members, clients, and partners – because people matter most. And people have always been at the heart of our business.
Since our founding in 1997, this is the thing that's stayed the same, from our employees to the millions of users nationwide that access our platform. We pride ourselves on partnering with our clients to build the workplace they and their employees crave.

Let's go forward together.

Position Overview:
Paylocity is growing its Data Practice Organization! Our data science team is responsible for developing machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection.

As a Data Scientist Intern in Product & Technology, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Are you the teammate we are looking for?

Responsibilities:
Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark  Conduct ad-hoc analyses and present results in a clear manner? Create automated data and modeling pipelines and develop custom performance tracking Collaborate with data scientists, data engineers, and product analysts to translate human capital management challenges into data science projects? Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features
Requirements:
On track to graduate in Fall 2022 or Spring 2023 with a Master’s or Ph.D. in in?computer science, industrial engineering, statistics, industrial-organizational psychology, neurology, public policy, linguistics, or another quantitative field Bachelor’s degree required Strong previous experience with Python or R and demonstrated experience building production grade machine learning models Able to work in a collaborative environment with a desire to share your ideas Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members?
Preferred Skills:
Previous relevant full-time work experience as a software engineer, data analyst, product manager, consultant, or another technical or analytical role Experience with cloud infrastructure on AWS or Azure Very strong (top 15%) Kaggle performance Invested in staying current in data science by applying new technologies and practices

Our journey forward.
Paylocity strives to create an organizational culture where every employee has a voice, feels truly welcome, appreciated, and free to be themselves, and is empowered and enabled to do their best work. A strong commitment to diversity, equity, and inclusion is critical to creating such a culture.

We’ve made great strides to support diversity, equity, and inclusion. That being said, we realize there’s still room for improvement. Our current focus is on the following initiatives:
Education & Awareness Client Community Company Representation Advocacy & Support Fairness & Equality PCTY Gives?
Want to learn more, click here to access our DEI flipbook. https://www.flipsnack.com/paylocitycom/diversity-equity-and-inclusion.html
This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.

This role can be performed from any office in the US. The pay range for this position in Colorado is $87,545 - $133,804 /year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position offers a comprehensive variable compensation package, in addition to a full range of benefits outlined here. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.


Data Science Intern

As data scientists at BlueConduit, we use machine learning models, working with geospatial data from a variety of data sources, to predict health hazards in infrastructure. Our founding team members were first to build models to predict whether water pipes were made of lead in Flint. And we’ve expanded that to serve cities throughout North America, on both a for-profit and charitable basis. We are passionate about using data science for social good and improving equity.
BlueConduit is seeking a motivated undergraduate, graduate, or PhD student who will:

Work up to 10 hours per week for the Winter/Spring 2022 semester

Assist with R&D to identify how to continue to scale the impact of BlueConduit’s predictive methods

Integrate client data into internal software tools, generating predicted probabilities of likelihood of lead in pipes at any address

Collect and catalogue relevant data from the web

Participate and present in the BlueConduit Data Seminars (with internal, industry, and academic speakers)

Be curious to learn and understands the human side of data science

Be passionate about data science for social good and environmental justice

We are a small, remote, and growing team, so this is an excellent opportunity to grow into and shape your role at our company. The role provides opportunities for mentorship, growth and for stepping into leadership positions.
Necessary Qualifications:

Relevant coursework and or projects in data science/statistics, machine learning (including validation and evaluation of model performance), public health, epidemiology,  geospatial information systems (GIS), or urban planning.

Experience with data analysis in Python, especially Pandas, Scikit-learn, and Numpy

Ability to present results clearly to non-technical audiences

Excellent verbal and written communication skills

Passion for environmental justice and community well being, as the company continues to partner with communities, as it did in Flint, around the country.


Director Data Science Vault Safety

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.

We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day.

The Director of Data Science will lead an all-star team of data scientists revolutionizing the speed and accuracy of intake, classification, detection, and processing of adverse reactions to medications and medical devices. If you have the passion and enjoy the fast-paced challenges of a lean startup, this is a great opportunity to disrupt an entire industry.

What You'll Do

Lead the development and own key machine learning algorithms that plug into all stages of drug safety intake, processing, submissions, and signal detections
Provide leadership in recruiting, challenging, and growing an elite team of data scientists
Work closely with software engineers, ML engineers, and ML ops in taking machine learning algorithms to production
Directly collaborate with all product stakeholders and drive multiple features to successful delivery
Be a trusted partner for senior management to determine best solutions, drive alignment and implement decisions throughout your team
Engage with customers, potentially fueling the conversation about what AI can do and bringing clarity to the discussion

Requirements

3+ years in a management role leading data science or engineering teams
7+ years of experience
Proven ability to hire, mentor, coach, and lead a team to success
Ability to motivate people, instill accountability and achieve results
Excellent oral and written communication skills with the ability to effectively explain complex problems and advocate technical solutions to Engineering and customers
Degree in computer science or engineering
Experience with AI and Machine Learning Models
Experience with Natural Language Processing
Advanced knowledge of statistical analysis and data mining techniques (regression, multilevel regression, poststratification, semi-supervised learning, forecasting, decision trees, clustering, A/B testing, etc.)

Nice to Have

PhD in data science or related field
Experience with AWS and Sagemaker
Experience in a regulated industry

#LI-Remote

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent@veeva.com.


Senior Data Scientist

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.

We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day.

The Role

Crossix Analytics is a business within Veeva dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions.  Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

Veeva is seeking an intellectually curious, resourceful, and collaborative Data Scientist to join Veeva’s Advanced Analytics team. At Advanced Analytics we build the technology and data science products that power Veeva’s targeting, measurement, and optimization solutions. This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.

What You’ll Do

Apply Machine Learning and Statistics techniques to large health data sets to build new products and methodologies
Collaborate closely with a team of Data Scientists, Product, and Engineers to improve and implement methods and features
Rapidly build prototype product solutions, communicate findings, iterate
Use technologies like AWS, Spark, Python, R, SQL, and Git in addition to proprietary data mining software on a daily basis

What You've Done

Degree in a relevant technical field (Machine Learning, Computer Science, Operations Research, etc)
5+ Years of hands-on data science experience
Highly proficient in Python and SQL
Experience with source control workflows like GitHub
Experience working with Big Data Technologies like Spark and AWS
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Nice to Have

Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, operations research, etc)
Practical experience applying Causal Inferences methodologies
Experience with R preferred

Perks & Benefits

Flexible PTO
Allocations for continuous learning and development
Health & wellness programs

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent@veeva.com.


Data Scientist Summer

What You’ll Do:
Sprinklr is seeking a Data Engineer to join the Modern Analytics team and partner together on data architectures that support enterprise reporting and analytics. This person will work closely with colleagues to develop data flows in Snowflake and in Tableau, providing solutions that yield important insights to the company.
In this role, you should have a background in ETL, data engineering and BI Reporting. Additionally, you should be analytical and an excellent communicator, and also have a business acumen, problem-solving and “can do” aptitude.
Additional responsibilities are as follows:

Contribute toward the design, deployment, and maintenance of data flows in Snowflake; support key datasets that yield structured and timely access to actionable business insights
Ensure that the architecture and data pipelines are aligned with best practices and reporting standards, all the while upholding security, performance, robustness and reliability
Build new and exciting reports and dashboards in Tableau, all the while working with colleagues to interpret insights from the data.
Act as a teammate on a small team, where on any given day, you may wear different hats, roll up your sleeves, and do what is needed to get the job done
Develop a deep understanding of data sources and know exactly how, when, and which data to use to solve particular business problems
As part of development efforts, ensure that technical documentation is created and maintained, along with the capture of business requirements and acceptance criteria that pertain to the technical solution
Contribute to the continual improvement of the business’s data platforms through observations and well-researched knowledge.
Keep a pulse on industry best practices and trends, offering opportunities for process and system improvements
Monitor the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements.

Qualifications:

Degree in Computer Science, Information Systems, or related field.
Experience in SQL and Python; Snowflake and Tableau experience is a plu
Proficiency with data manipulation and analysis, along with the ability to build, maintain and deploy sequences of automated processes.
Demonstrated ability to write clear code that is well-documented and stored in a version control system
Excellent listening, interpersonal, communication and problem-solving skills


Data Scientist Intern Summer

What You’ll Do:

Engage in exploratory data analysis in alignment with business and technical requirements. The data may span across Sales, Finance, HR, Customer and Operational domains.
Build base models to support business needs and iterate on those models to tune parameters.
Develop and deploy predictive models based on historical data that provide future predictions for specified enterprise objectives.
Build and maintain reporting dashboards in Tableau in order to provide insights to stakeholders.
Offer methodology recommendations to consider for advanced analysis projects (predictive models, clustering / segmentation, etc).
Where needed, engineer data to support enterprise data needs and provide the basis from which data science algorithms can be applied.
Coordinate with different functional teams to build and implement models and monitor outcomes.
Design, build and manage automation tools using Python/ Apps Script/ VBA for a wide range of business requirements.
Identify the key organizational trends using statistical modeling and machine learning, and propose action plans working closely with stakeholders
Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e. g., predictive models, LTV, propensity models).

Who You Are & What Makes You Qualified:

Masters in a field that emphasizes analyzing, displaying, or reporting on data (e.g., data science, computer science, statistics, math, engineering).
Thorough coursework and/or work experience in the field of Data Science, possess experience in building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
Experience with tools such as Python, R, Tableau, SQL and any other related programs for implementing the above responsibilities.
Good understanding of data visualization principles and fundamentals of probability and statistics.
Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders
Experience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.


Data Scientist

Coinbase has built the world's leading compliant cryptocurrency platform serving over 68 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase.
Act as a strategic partner to functional teams and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations
Prototype new analytics & machine learning models that improve both our insights and the product directly.
Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team.
Lead analytics projects to completion.
Work with the broader Data team to find ways to scale our insights through better systems and automation.
What we look for in you (ie. job requirements):
5+ years relevant experience
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Understanding of statistical concepts and experience in applying them.
Experience in data analyses using SQL.
Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl).
Be able to independently create plans for analytics projects and  build collaboration within the team.
BA / BS degree or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics areas.
Experience manipulating large amounts of structured and unstructured data.ID:G1435
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.


Senior Data Scientist

Dave is a banking app on a mission to create financial opportunity that advances America’s collective potential. Dave's financial tools, including its debit card and spending account, help its more than 10 million customers bank, budget, avoid overdraft fees, find work and build credit.

Dave is a virtual-first company, which means there is no preference on where team members get their work done. Employees are able to live anywhere in the United States, with the only exception of Hawaii for now. For those who want to work in an office setting on a more regular basis, we will eventually open offices in Los Angeles and San Francisco.

Dave is backed by Mark Cuban, Norwest Venture Partners, Section 32, and Financial Venture Studios, among many others and just announced our plans to go public by the end of 2021.

Team Overview

Dave is looking for an experienced and passionate senior data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Dave and improve user experience for our customers.

What You'll Do

Be constantly curious and continue to pursue in-depth explorations of our datasets.
Collaborate with key stakeholders to understand the business problems, ideate ML solutions and effectively communicate to stakeholders.
Research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so on.
Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU, network and compute architectures.
Partner with Engineering, Product team to develop and deploy ML solutions into product features.
Continuous monitoring and evaluating model performance and communication to the relevant stakeholders.
Conduct model related analyses to provide comprehensive insights about ML solutions.

What You'll Need

BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Mathematics, Statistics or other STEM fields.
5+ years of industry modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation and so on.
5+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python, C++
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark and cloud platforms.
Ability to communicate your ideas/code clearly to business stakeholders.
Enjoy working with multiple levels and teams across organizations (engineering, product and marketing teams etc.)
Effective verbal/written communication, and technical presentation skills.
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team.

Preferred Experience

ML model deployment in production experience plus
Experience in Financial Services or FinTech plus
Experience in credit, fraud, automation and personalization/recommendation system

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums 100% covered for you and 80% for your dependents
• Company provided Basic Life and Short-Term Disability plans
• Competitive salary and equity compensation packages
• Voluntary Life Insurance and Long-Term Disability plans
• 401(k) savings plan with matching contributions
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• Generous and flexible PTO
• Flexible work hours
• Generous paid parental leave
• A collaborative environment with opportunities for learning and growth
• Virtual social events

Dave Inc is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, ethnicity, religious creed, color, national origin, ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, age, status as a protected veteran, status as an individual with a disability, medical condition, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE


Staff Data Scientist

About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
Forbes America’s Best Startup Employers
Forbes Top 50 Blockchain Companies
Figure Series D Announcement
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure.  We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do

Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.

What We Look For

5+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Credit and Risk modeling experience in consumer finance a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.

Benefits and Perks

Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.


Senior Data Scientist Computer Vision

Who we are:
Founded in 2012, Socure is the leader in digital identity verification technology at account onboarding and beyond. Our predictive analytics platform applies artificial intelligence and machine learning techniques, with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real-time. We have more than 750 customers across the financial services, gaming, telecom, and ecommerce industries, including four of the top five banks, seven of the top 10 credit card issuers, three top MSBs, multiple tier-one payroll providers, the top credit bureau, and over 100 of the largest and most successful fintechs such as Varo Money, Public, Chime, and Stash. Socure is now offering its solutions to public sector agencies.

We are also funded by some of the world's best investors, including Accel, Scale Venture Partners, Commerce Ventures, Citi Ventures, Wells Fargo Strategic Capital, Capital One Ventures, and more.

Our trophy case includes numerous industry awards and accolades, including being named one of Forbes America’s Best Startup Employers 2021 as well as the Best New Technology Introduced over the Last 12 months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked #70 on Deloitte’s Technology Fast 500™, getting listed as a Gartner Cool Vendor, and winning Finovate’s Award for Best Use of AI/ML, to name a few.

The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in.
What the role is:
Socure is hiring a Sr. Data Scientist to lead efforts to improve our current computer-vision based identity verification solution. The Sr. Data Scientist is part of a global team, and will work under the direction of the Sr. Director of Data Science (Computer Vision) and in close partnership with data science teammates and colleagues in product and engineering. They will contribute in a hands-on capacity to the development and implementation of computer vision algorithms, as well as make technical recommendations to drive solutions.
This role can be based anywhere remotely within the USA.
What You’ll do:

Lead the the machine learning aspect of projects related to the evolution of the product, working in collaboration with the Product and Engineering teams
Identify opportunities to solve challenges with novel solutions
Implement, optimize and deploy cutting edge computer-vision algorithms like OCR, RCNN, MTCNN, SSD ResNet, SSD MobileNet, Barcode Reader,…
Feature Engineering
Perform analysis to assess risk of fraud

What You'll Bring:

Masters or PhD. in deep learning and computer vision
Experience with at least two of the following: object detection, segmentation, face detection and recognition verification, text detection and recognition or anomaly detection.
A minimum of 4+ years experience as a data scientist, ML or CV engineer or scientist, contributing in both a hands-on and strategic capacity
Expertise and knowledge in the state of the art of computer vision and machine learning
Preferred to have experience with NLP
You are experienced with GPU
You have programming experience in Pytorch and/or TensorFlow

Perks & Benefits:

Competitive base salary
Equity - every employee is a stakeholder in our upside
Medical, dental and vision benefits for employees and their dependents
Parental leave and fertility support
Flexible PTO
401K with company match
Stipend to supply your home office
Annual professional development stipend

A Message on COVID-19:
Socure's number one priority is to safeguard the health and well-being of our team members, our families and our communities. During this unprecedented time, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from our employees to help inform our return-to-office strategy. For our team members who loved going into the office, we are looking forward to meeting once again! But until then, we are striving to ensure that Socureans have the resources and support they need to excel from home. This includes a work-from-home stipend so you can build your home office and fun, virtual events so you can continue to feel connected to your coworkers.
We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist

Rackspace is a different kind of technology company. With a combination of unbiased expertise, meticulous methodologies and innovative delivery models, we are uniquely positioned to help you achieve your specific goals using the appropriate combination of technologies.
Our ability to apply best practices and provide exceptional solutions has resulted in numerous industry awards, including being a leader in the Gartner Magic Quadrant for Public Cloud Infrastructure Professional and Managed Service Providers, Worldwide 2019.
Right now Rackspace and the Global Data Office is growing the Data Science team!

What we do?

Data Science is one of the blocks under the Integrated Technology Solutions organization. We are the hub of where Rackspace  operations, strategy and data analytics converge, helping the business connect insights to action. Here’s your chance to help to build sound Data Science models with our customer and operational data.

As a member of Rackspace Data Science team, you will be delivering decision support to several different internal organizations. As such you will use machine learning, statistics, and problem-solving techniques to provide actionable insight on system/technology performance and how to improve the customer experience and commercial performance to help meet business goals. Our vision is to optimize the future with better data-driven decisions today!

What You’ll Do?

Candidates who thrive in this role need to be exceptionally well-rounded, flexible, and driven.  Having a practical approach to Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets to execute and deliver on the most impactful opportunities while leveraging analytical best-practices will be required to succeed in this role.

The role requires the knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities and make valuable discoveries leading to prototype development and product improvement. Ideal candidates are able to frame Data Science problems, put mathematical models into production, writes reusable code, builds high quality data pipelines in cloud environments and answer business questions to management. In addition, using your influencing and relationship-building skills, you will drive the communication with internal organizations.

What is required :

Strong structured learning/hierarchical and statistical modeling techniques and Machine learning experience.
Ability to obtain data from multiple, disparate data sources including structured, semi-structured and unstructured data to find actionable business insight, with an emphasis on customer experience. This will require Experience with cloud-based ecosystems (GCP, AWS).
Utilize analytical techniques to determine areas of opportunities to help meet business goals.
You will use bold problem-solving skills and provide analytics to understand the drivers of current issues and recommend solutions
You will assist other organizations of the company in understanding the value of an analytical approach to decision-making, provide them with the insights that contribute to their strategic goals and influence their day-to-day activities with tools and solutions.

Who we need :

Bachelor’s Degree in Applied Mathematics, Physics, or Quantitative Discipline
Master’s degree on Data science, business analytics, or other data related field
3+ years of relevant industry experience in analytical/technical roles
Advanced proficiency in querying and composing large datasets with Big Query or SQL
Proficiency using Tableau, Qlik Sense, Power BI (or similar BI tools) to create data visualizations
Exceptional team collaboration skills with the ability to work in matrix organizations and influence people
Excellent verbal, written, and data presentation skills
Hands on experience on statistical analysis and/or data science experience utilizing R or python
Solid time management and organizational skills. Able to work independently under pressure in time-sensitive, fast-paced environment
Creativity and critical thinking to go beyond current tools to deliver the best solution

Bonus points if you have :

Strong operational and financial acumen
Experience in strategy consulting
Six Sigma Green Belt Certified

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Position is available for remote work in the following states unless otherwise specified. Alabama, Arizona, Arkansas, California, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.


Data Science Manager

What we do
At Civis, we take a science-first approach to solving problems. With a blend of proprietary technology and statistical advisory services, we help public and private sector organizations find, understand and connect with the people they care about, so they can stop guessing and start using mathematical proof to guide decisions. We know others use “data science” and “analytics” as buzzwords, but at Civis we don’t stand for fluff, and we will always deliver scalable products and technologies — not PowerPoints — to drive your business forward. Learn more about Civis at www.civisanalytics.com.
Our mission
Our mission is to bring objective, data-driven truth to organizational decision-making – all the way from the boardroom to the world’s largest social causes.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for/Responsibilities
We are looking for a Data Science Manager to lead 6 - 10 data scientists across multiple teams. Data Science Managers are responsible for building an engaging team environment, recruiting talent to the team, and developing staff to their highest potential.
At Civis we build software products for teams of Data Professionals. Civis Platform, our flagship product, makes cutting-edge data science and data warehousing techniques available to a broad audience. We are looking to hire experienced data scientists and engineers to scale our team to achieve our ambitious goals. Civis Data Science Managers exhibit sound judgment, ownership, and autonomy. At Civis, you will be responsible for fostering an inclusive, supportive, and high performance environment for your direct reports.
Required Qualifications

5+ years of experience as a data scientist or similar role, including experience taking a leading role in significant technical projects
2+ years leading teams of data scientists or others in similar roles
Demonstrated experience building team culture and data science processes, especially on high growth teams
Exemplification of an eagerness to constantly learn and teach others
Experience using Python or R to analyze data
US work authorization

Preferred Qualifications

Significant experience with any of the following:

Machine Learning libraries (e.g., scikit-learn, TensorFlow)
Probabilistic programming libraries (e.g., Stan/RStan, Tensorflow Probability)
Statistical methods for survey inference or observational causal inference
Statistical modeling of person-level data

Experience working with political data or government data (e.g., Census Bureau data)
Experience building software for internal or external users

Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.

To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.

Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact internalrecruiting@civisanalytics.com
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Staff Data Scientist

Iterable is a cross-channel platform that powers unified customer experiences and empowers marketers to improve on every interaction taking place throughout the customer journey. With Iterable, brands create individualized marketing touchpoints that earn engagement, solidify trust and galvanize loyal consumer-brand relationships.
Developed for the enterprise, Iterable is built from modern technologies that transform cloud, partner and tool-specific data into integrated, personalized engagements. No matter the audience size or degree of campaign sophistication, Iterable empowers brands to implement where it matters most—creating experiences and promoting connections with over 2 billion people world-wide. Leading brands, like Zillow, DoorDash, Calm, Madison Reed, and Box, choose Iterable to power excellent customer experiences throughout the entire lifecycle.
Iterable's momentum grows daily and there has never been a more exciting time to join the team! We've been recognized as one of the Best Places to Work - SF for the past four years, one of the Best Places to Work in Colorado for the past two years, and were named as one of Colorado’s Best Paying Companies! We’ve also been listed on Wealthfront’s  Career Launching Companies List for the past two years,  rank sixth on the list of Top 25 Companies Where Women Want to Work and hold a top 20 spot among the SaaS 100.
We have a global  presence with offices in San Francisco, New York, and Denver, and London, and remote employees located all over the world. As we scale, we continue to live by our core four, founding values - Trust, Growth Mindset, Balance, and Humility. To understand the Iterable story, and learn more about our  mission, explore our Culture and About Us page.
How you will make an impact:
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to  launch new machine learning products and improve our Engagement Optimization, Content  and Product recommendation models. Here’s more information about our Engineering culture, values, and interviewing process.
One of our core values is growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.
In this role you’ll get to:
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to launch new machine learning products and improve the predictive features in our core platform.
Position Details:

Research, evaluate, train and adapt state of the art machine learning algorithms
Mentor data scientists and ML engineers on state of the art machine learning developments
Study academic and industry research papers to learn new machine learning techniques for marketing use cases such as  personalization, user segmentation and content or product recommendations
Work closely with other machine learning and data engineers to improve the tools and processes to streamline ml development
Design end-to-end machine learning systems including data acquisition, data cleaning, data models, model training, model serving and evaluation
Build the Iterable AI brand with a track record of talks, blog posts, open source contributions and research articles
Collaborate with leadership, senior teammates and product managers to create product and technical roadmaps for features and products as part of Iterable AI

The Ideal Candidate Will Be/Have:

Masters or PhD in CS, Math, Physics or similar engineering/science discipline
Extensive experience with multiple ML applications, especially personalization.
Expertise with data exploration, visualization and unsupervised learning techniques
Experience with building end-to-end machine learning systems in production
Comfort with modern Deep learning frameworks and the Python data science ecosystem
Experience with large scale data and commercial ML platforms

Perks & Benefits:

Paid parental leave
Competitive salaries, meaningful equity, & 401(k) plan
Medical, dental, vision, & life insurance
Balance Day (First Friday off every month)
Fertility & Adoption Assistance
Paid Sabbatical
Flexible PTO
Daily lunch allowance
Monthly Employee Wellness allowance
Quarterly Professional Development allowance
Pre-tax commuter benefits
Complete laptop workstation

Perks & Benefits:

Paid parental leave
Great compensation packages, meaningful equity, & 401(k) plan
Medical, dental, vision, & life insurance
Balance Day (First Friday off every month)
Fertility & Adoption Assistance
Paid Sabbatical
Flexible PTO
Daily lunch allowance
Monthly Employee Wellness allowance
Quarterly Professional Development allowance
Pre-tax commuter benefits
Complete laptop workstation

We’ve rethought  traditional workplace planning and are looking to strengthen belonging, innovation, productivity, and happiness whether it’s in an office, from home, or a hybrid of the two. As such, we've moved to a single geographical compensation band for all of our employees (the San Francisco Bay Area market for the US, London for the UK).
For Colorado-based employment: The minimum salary for this position is $182,000/year. The compensation package includes equity, plus a range of medical, dental, vision, financial and other benefits. Additionally, perks such as daily paid lunches and generous stipends for health & fitness and learning & development, among others, are included.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Last Update: (6/23/2021)


Sr Data Scientist

At BetterUp, we give people the coaching, support, and push they need to reach peak performance and unlock their limitless potential, in all they do, personally and professionally. We work with world-class experts and Coaches, pioneer innovative technology, and foster human touch at scale to fuel the BetterUp experience, and make growth and development achievable for all. We believe that practicing strong mental fitness is a never-ending practice of maintaining and building the strengths that proceed health, happiness, and success.
And we’re looking to build out a diverse and ambitious team of go-getters to join us as we grow. Exciting opportunities lie ahead, as well as work that makes a real difference — not only in the lives of others, but for your own personal and professional growth, too. Join us as we continue to bring BetterUp to more people everywhere, and create impactful change for our members and for you.
Come build the future of data at BetterUp!  We are looking for an experienced Sr. Data Scientist to join our team.  At BetterUp we believe that data is critical to our success.  If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.
What you’ll do:

Be an embedded analyst in one of our product squad and serve to help them drive product growth through a deeper understanding of our members
Conduct data deep dives to continue to learn new truths about the member experience.  Present your findings to the squad with key recommendations on the next steps that will help drive future product strategy
Partner closely with Product Managers to understand their needs and goals and ensure to cascade critical information they need to know about what is possible with our data
Partner closely with data engineering to design new data models that serve to provide data on each critical part of the experience

Help drive A/B testing strategy including testing design, and measurement.  Help ensure that all tests are well designed to ensure quick learnings

Create statistical models to better understand the drivers behind members’ usage and personal growth
Translate complex results to non-technical audiences and help use data to inform the product strategy
Build strong relationships with other analysts to ensure we leverage each other's learnings and research
Reports to the Director of Product Analytics

If you have some or all of the following please apply:

5-7+ years of experience programming with SQL, LookML, and Python / R
5-7+ years of experience building statistical models that drive a deeper understanding with 3+ of those years at a fast-growing technology company
The ability to translate complex results into strategic recommendation (both written and verbal)
Previous experience with Amplitude a plus

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
Per year:

All federal/statutory holidays observed
4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend

Holiday charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

Diversity & EEO statement
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
#LI-Remote


Senior Data Scientist Workforce Analytics Americas

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist, Workforce Analytics on our Customer Support Services (CSS) team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you will be doing:
Work closely with finance, product, and CSS leadership teamBe responsible for predictive modeling and analyses of workforce data: workforce growth, organization structure, and talent managementOwn and drive improvement of inbound business volume forecasting; working with Operations partners to better enable staffing, training, and optimization of resourcesOwn and enhance predictive pipelines and advanced analytic tools support CSS Workforce Management forecasting and allocationKey contributor to workforce planning strategy which is critical to Atlassian customer support experienceWork closely with Data Engineering team on measurement and data instrumentation maturity
Some examples of the skills and tools you'll use are:
Analytics: Statistics, predictive modeling, advanced analytics, metrics and measurement, ETL automation, and data pipelines, data story tellingTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira


Senior Data Scientist Americas

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.


Senior Manager Data Science Europe

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from the Netherlands, UK, France, and Germany your interest, apply today and chat with our friendly Recruitment team further.
Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?
We have a unique opportunity for a senior leader to grow a high-performing team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners to senior business leaders, uncovering opportunities and problems, test and measure hypotheses, build analytics and data science solutions, and surface insights to drive transformative changes.
The ideal candidate will be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with solid commercial awareness, who is comfortable with ambiguity and complexity, and has experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader. With demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.
In this role you will:
Hire, lead, and grow a team of data scientists with great technical skills, commercial awareness, and value fitPartner with leaders to identify business opportunities and build critical metricsPartner with cross-functional teams (program management, etc) to enable transformative initiatives and make an impactBe an inspiring leader, build analytics strategy, provide transparency of roadmap, and drive sprint planningBuild shared vision, empower a team of missionaries, and deliver high-quality outcomeDrive impactful analytics insights, build data science solutions, and measure impactManage roadmapping, sprint planning, partner engagement, and remove blockers when neededBe a great communicator, able to share complex ideas simply, advocate teamwork, and coach data storytelling
On your first day, we'll expect you to have:
Experience as a people leader with proven success growing and mentoring teamsBackground working in analytics and data science fieldSuccess at hiring, managing and growing a globally distributed team remotelySolid commercial acumen and critical thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solveSuccess at building a culture of data-informed decision making, fast learning, and innovationStrong communication skills to tell data stories to a non-technical audienceStrong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentationExperience applying advanced analytics knowledge to the real worldRoadmap planning, sprint planning, and project management skills
It's great, but not required, if you have:
Experience in B2B, customer support, customer successExperience in product analytics, people analyticsExperience with large data sets and distributed computing (Hive/Hadoop)Experience in using Jira, Team Central, Confluence to manage and share team's work


Principal Data Scientist Europe

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from the eNetherlands, UK, France, and Germany your interest, apply today and chat with our friendly Recruitment team further.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy, and operations? If so, this role is for you!
As a Principal Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focusing on some of the most exciting challenges Atlassian faces.
What you'll get to do:
Work with a cross-functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen, and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks, and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 7+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science, or other quantitative fields.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise, and communication/coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.


Group Manager Analytics And Data Science Pdt

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
We’d love you to join us:
We're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers.
In this role you'll get to:
Collaborate with Atlassian’s product leaders to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmapLead a team of data science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analystsDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On the first day, we'll expect you to have:
Extensive proven experience applying your analytics to initiatives which have had a positive impact on company level business and product decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA very high bar for output quality; with experience coaching teams to balance rigor, perfection and speedStrong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertaintiesFamiliarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsExtensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Experience in A/B experimentationA degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's a bonus, but not required, if you have:
An understanding of SaaS business model and metricsPreviously worked in global teams and high growth companiesAre an active member of the broader analytics and data science community


Senior Forecasting Decision Scientist Americas

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
We are looking for a top-tier data scientist to join our Decision Sciences team as a Senior Forecasting Decision Scientist. As a member of the decision science team, you’ll be providing the models and insights that empower teams across our business to learn quickly and make smart investments. Atlassian is experiencing rapid growth, so there are plentiful chances to create an impact in this role.
You are passionate about bringing structure to complex business problems. Your models will create powerful feedback loops between incoming data and decision-makers. Working alongside data engineers, data scientists, and product leaders, you’ll be monitoring business performance and translating insight into improved business forecasts. You've got demonstrable experience with building and deploying predictive models and a proven track record of fostering strong and trusted relationships with stakeholders, with whom you turn data into action.
On your first day, we expect you to have:
5+ years of relevant experience using data to build software at industry-leading companiesExpertise in SQL and one of Python or R3+ years of applying statistical and econometric methods that uncover actionable insights, estimate causal relationships or derive predictions.Demonstrable experience in deploying production-grade predictive models in close collaboration with engineering teams, product leaders and business stakeholders.Excellent communication to garner trust and bring forecasts close to product driversAbility to turn complex findings and results into a compelling narrative and a set of actionsStrong sense of accountability, self-drive, and the ability to function independentlyPassionate about products, and about analytics as a craftUndergraduate in a technical subject from a top school
It’s great, but not required, if you have:
Exposure to advanced statistical or econometric techniques (e.g. survival analysis, vector autoregression, general linear models, Markov models and panel data methods)Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic