Lead Data Science Analyst

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
·       Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
·       Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
·       Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
·       Manages multiple priorities, communicate business performance and project progress to management & business partners.
·       Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
·       Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.
·       Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
·       Bachelor's Degree in Analytics, Engineering, or Statistics
·       4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
·       Master's Degree in Analytics, Engineering, Mathematics or Statistics
·       2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Data Scientist

Who we are:
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.

We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.

Our data science team is responsible for instilling and supporting a data-first culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. The team uses statistics and machine learning to derive insights of an ever-evolving product with the goal of constantly improving patient care.

What you'll be doing:

Work alongside multiple verticals in the company to identify data-related opportunities;
Provide insights about behaviours, trends, and causal relationships to influence product development as well as the overall company’s strategy;
Present findings in both written and oral form to relevant stakeholders;
Participate in the design, execution, and analysis of experiments of product rolloutsInstill a rigorous statistical and testing culture across Sword.

What you need to have:

4+ years of experience in Data Science roles;
Experience using descriptive and inferential statistics in the context of a product;
Experience using machine learning to derive insights and find patterns in the data;
Working knowledge of SQL as well as statistical packages (such as those in R or Python);
Experience leading complex and ambiguous initiatives with full autonomy;
Ability to learn quickly and dive deep into new subjects;
Ability to interface and communicate clearly with non-technical stakeholders.

Bonus Points:

Experience with irregular time-series/event data;
Genuine curiosity that drives you to experiment and try new things

To ensure you feel good solving a big Human problem, we offer:

A stimulating, fast-paced environment with lots of room for creativity;
A bright future at a promising high-tech startup company;
Career development and growth, with a competitive salary;
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
A stimulating environment with room for creativity;
A flexible environment where you can control your hours (remotely) with unlimited vacation;
Access to our health and well-being program (digital therapist sessions);
Remote or Hybrid work policy.

We are proud to be an Equal Employment Opportunity employer.  We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills.  At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company.  The more inclusive we are the better our work will be.

Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares

Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages
English Class


Data Scientist

Who we are:
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.

We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.

Our data science team is responsible for instilling and supporting a data-first culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. The team uses statistics and machine learning to derive insights of an ever-evolving product with the goal of constantly improving patient care.

What you'll be doing:

Work alongside multiple verticals in the company to identify data-related opportunities;
Provide insights about behaviours, trends and causal relationships to influence product development as well as the overall company’s strategy;
Present findings in both written and oral form to relevant stakeholders;
Participate in the design, execution, and analysis of experiments of product rollouts;
Instill a rigorous statistical and testing culture across Sword.

What you need to have:

2+ years of experience in Data Science roles;
Experience using descriptive and inferential statistics in the context of a product;
Experience using machine learning to derive insights and find patterns in the data;
Working knowledge of SQL as well as statistical packages (such as those in R or Python);
Capable of taking projects from plan to completion with supervision and guidance;
Ability to learn quickly and dive deep into new subjects;
Ability to prioritise tasks and not get caught up on unimportant details.

Bonus Points:

Experience with irregular time-series/event data;
Genuine curiosity that drives you to experiment and try new things.

To ensure you feel good solving a big Human problem, we offer:

A stimulating, fast-paced environment with lots of room for creativity;
A bright future at a promising high-tech startup company;
Career development and growth, with a competitive salary;
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
A stimulating environment with room for creativity;
A flexible environment where you can control your hours (remotely) with unlimited vacation;
Access to our health and well-being program (digital therapist sessions);
Remote or Hybrid work policy.

We are proud to be an Equal Employment Opportunity employer.  We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills.  At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company.  The more inclusive we are the better our work will be.

Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares

Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages
English Class


Data Science Manager

At Propel, our mission is to build modern, respectful, and effective financial tools for Americans with limited income. Over 5 million people use our app, Providers, to manage the benefits they use to keep their family well-fed and healthy, stay up to date on critical government programs, save money, and earn income. Read more about the impact of Providers here. Now we’ve expanded further into the financial services space, offering the best banking option for low-income Americans.
We’re looking for a Data Science Manager who is excited about building and managing a data science and analytics function that derives meaningful insights from our data, improves decision making, identifies opportunities, and builds a more successful business that optimizes how we serve our users! In this role, you’ll define what the right data function looks like for Propel at each stage of our growth while creating a culture of strong strategic data partnership with product, engineering, and other teams. You’ll manage three reports to start and continue to grow the team as necessary to execute against analytics and data science priorities.
Propel is a for-profit software company that holds its social mission at its core. Our investors include Andreessen Horowitz, Nyca Partners, Kleiner Perkins, Flourish Ventures, Kevin Durant, Serena Williams, and Nas.
We’re strongly committed to hiring a diverse and multicultural team. We encourage applications from traditionally under-represented backgrounds, including those with direct experience with the Supplemental Nutrition Assistance Program.
We offer:

Immediate opportunity to make an impact on our team, product, and business
An opportunity to work on a product used by millions of people
A get-stuff-done, fun, and caring culture
Meaningful work and a strong shared sense of mission
A remote-first work environment with a dog-friendly office in Downtown Brooklyn and satellite offices in San Francisco, Los Angeles, and Salt Lake City
Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $170-200K, depending on experience. Equity and excellent benefits come with this position as well!

What you’ll do:

Lead, coach and manage our Data team on the use of our data, creating leverage with a lean analytics team
Ensure the Data team is proactive in asking and researching their own questions in line with business goals
Establish goals and metrics to measure individual and team performance
Build a strongly metrics- and data-driven culture where everyone on the team relies on quantitative analyses when identifying problems, discussing opportunities, or creating solutions
Create self-service mechanisms for data analysis while keeping the reliability of data analysis high
Partner with engineering to triage and fix data infrastructure priorities, architecture, and issues
Manage high value analytics projects as needed, generating insights that inform our product strategy and roadmap

What you have:

8+ years of experience in a customer-facing data analyst or scientist role
Successfully delivered end-to-end data research projects for a SaaS product, working through conflicting viewpoints, model intractability, and data limitations
Strong programming skills in Python, R, SQL or Scala
Experience hiring and leading experienced data scientists as well as a successful record of developing junior members to a successful career track
Achievements in developing and leading a long-term research vision and portfolio of research initiatives
Ability to communicate analytical results to senior leaders, and peers
Background serving our customer segment and/or deep interest in learning about their problems and needs


Senior Data Scientist

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.Senior Data Scientists at 605 are highly skilled data scientists, statisticians, and/or other skilled researchers (PhD, ABD, Masters with experience, or comparable). The Senior Data Scientist must be able to analyze big data, apply machine learning and statistical models, and communicate findings clearly to all levels of an organization.Responsibilities include: Coding original R/Python/Spark scripts as well as optimizing current scripts daily Implementing machine learning and statistical models to solve complex problems Flexibly working on a variety of different externally facing client projects over the course of a week Collaborating with fellow data scientists, data engineers and account managers to identify and implement efficiencies and automate solutions Mentoring junior data scientists and analysts Working with sales leads to build new business opportunities  7+ years work experience in comparable field and a Master's degree (or equivalent work experience) 5+ years coding experience with 2+ years specifically in R or Python 3+ years implementing machine learning and statistical methods to solve complex problems Strong machine learning and/or statistical skills and intuition. Expertise in at least one of: causality, model evaluation, or forecasting Experience adapting, implementing, and scaling various solutions utilizing machine learning techniques Experience manipulating multiple big data sets Adaptable enough to use existing tools, models, and methods to new needs Strict integrity working with confidential, private, and high-value client information Ability to balance workload across a variety of different projects over the course of a week Excellent attention to detail Excellent oral and written communication skills to interpret and translate results to a variety of technical and non-technical audiences through reports; white papers; and internal, external, and client-facing presentations Preferred Skills Previous experience with Spark Experience working in data science in the television or digital marketing industry Experience designing and analyzing experiments Experience analyzing high-dimensional time series or event stream data  Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences Candidates who meet the qualifications of this role can expect to earn an annual salary of $125,000 - $150,000.


Senior Data Scientist

About Borrowell:Borrowell is a Canadian company whose mission is to make financial prosperity possible for everyone. The first in Canada to offer free credit scores, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future. Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2.5 million members, Borrowell is one of the largest fintech companies in Canada. We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.Put simply, we put people first. We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team. We know that diverse teams perform better; half of our team identify as women or non-binary.We’re always on the lookout for passionate and driven people. If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!About the Role:As a Senior Data Scientist, you will play a key role in formulating the most suitable Machine Learning (ML) solutions through identifying new opportunities, then owning the end-to-end development of ML models (ideation, development, validation, and model monitoring). Alongside our robust Data Analytics and Data Engineering teams, you will work together to iterate existing models (such as product ranking), and build, test, then implement net-new models for projects involving customer personalization, retention, and quality of our product flow experience.During your first year, you can expect to: Identify gaps, understand business requirements, translate them into problem statements, then ideate and recommend data science solutions after thorough research Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging/wrangling Identify the most fitting algorithms and statistical techniques for various projects, as well as the best features for models Set up and own post-deployment model monitoring Make business recommendations and effectively present the findings across various stakeholder levels  Past working experience building ML models for real-world problems  from ideation to implementation Comfortability with making business recommendations and presenting to stakeholders Demonstrated proficiency in one or more statistical programming languages for data science - we use Python Comfortability with writing complex SQL queries to extract and integrate data from multiple database sources Desire to learn and implement production deployment of ML models, if not experienced with it Nice to Haves: Bachelor's Degree (or equivalent experience) in a quantitative discipline Experience with production deployment Proficiency in SparkSQL, PySpark, and/or Azure Databricks Market knowledge in fintech, ecommerce, and/or social media   The Opportunity - have a major impact at a growing company that is helping make financial stability possible for everyone  Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists  Additional Health Benefits - virtual benefit offerings that allow you to connect 24/7 with nurses, doctors and mental health professionals  Parental Leave Top-up - available to new parents  Wellness Benefit - $600 annually to spend on whatever brings you joy  WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you  Employee Development Benefit - annual reimbursements on payments to help your learning  Givewell Benefit - 1 paid volunteer day a year to give back to the community  Flexibility - flexible working hours and a flexible vacation policy  90 Days Away Policy - you can travel to other countries and work outside of Canada for up to 90 days a year - so far, people have used this opportunity to visit Spain, Portugal, Costa Rica, Brazil, France, Italy, the Netherlands, and more We are remote-first across Canada, meaning you have no mandatory obligation to come in-office unless you choose to do so - you decide what is best for you. Our offices are located in Toronto and Kelowna, with teams distributed primarily in Ontario and BC. We do not intend on changing this remote-first status.At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.Here at Borrowell, we stand in solidarity with Ukraine. We welcome all people making use of the Canada-Ukraine authorization for emergency travel (CUAET) program to apply and we will get back to you as soon as we can.#LI-Remote


Data Scientist Senior Or Lead

As a Senior or Lead Data Scientist with the Machine Learning Engineering team, you’ll advance the use of technology, machine learning, applied statistics and large sets of labeled data to develop solutions across multiple business units and IT.  You'll work across the enterprise to identify and implement solutions, promote best practices, and advocate for the data science community.  In this exciting role, you'll have a direct impact on machine learning, engineering, leadership, and business consulting.  You'll own the end-to-end model development and deployment process, going from idea to production. You'll work closely with the business and IT to shape the future of data science teams and best practices for the data science lifecycle. Remote work allowed.
Must-have qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Delivered multiple customer-facing products, models, and systems into production
Two years of experience using Linux, GitHub (version control), public cloud infrastructure and mathematical model creation; with machine learning and statistical model creation and/or evaluation, EDA, feature engineering, hypothesis testing, and experimental design
Skilled in Linux, SQL, Bash & highly proficient in Python
Demonstrated thought leadership in data driven decisioning that had a tangible impact on business and ability to perform in an ambiguous environment
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-Remote


Associate Data Scientist Sustainability

About Indigo

Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture's long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups.

The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:

1. operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy
2. partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies
3. strategic decision support with forecasting and scenario planning
4. partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience

About the role:
We are looking for an associate data scientist to tell the story of our data, derive insights, and drive decisions. Partnering with the product team, marketing, engineers, and others—all of whom are hungry for insights—and with the support of other data scientists and business intelligence analysts, you will work to understand data, develop hypotheses, answer questions, extract and interpret insights, and make recommendations.

The data will span transactional data, web analytics, as well as a rich set of open and proprietary agronomic and demographic datasets. As such, analyses may span questions around growth, engagement, and agronomics insights at a variety of spatial scales.

The primary focus of this role is analysis (as opposed to reporting which is primarily handled by the business intelligence team): descriptive insights, session analysis, driver analysis, path analysis, churn analysis etc. as well as some predictive modeling (regression, classification, cluster analysis etc). You will be part of the sustainability data science team and have plenty of mentorship, support, and domain expertise to lean on, and a chance to develop skills and grow.

Competencies:

Strong sense of quality and attention to detail
Excellent verbal and written communication skills
Curious and proactive. Bias for action.
Willing to interface with many areas of organization to understand our data, share insights, and have impact
Strong data manipulation and munging skills
Strong data visualization (matplotlib, ggplot, seaborn etc) and story-telling skills

Qualifications:

Masters Degree in Computer Science, Math, Statistics, Physics, Engineering, or related required
Comfortable writing SQL
Comfortable writing Python and/or R
Experience with version control software such as github
Experience working in an agile environment

#LI-RO1
#LI-Remote

At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool.

If you’re applying for a job in the U.S. and need reasonable accommodation for any part of the employment process, please email talent@indigoag.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.


Data Scientist All Levels

About the team: The Science & Analytics team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will:

Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact

We’re looking for someone who has:

Minimum of 2-7+ years of industry experience in Data Science
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail

Nice to Haves:

Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps


Applied Sr Data Scientist Credit

Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.

Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates.  Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.

We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.

Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.

To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.

Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together

Overview of Role
We are looking for a promising quantitative financial analyst who is excited to join the Quantitative Modeling & Analytics team within the Capital Markets group at a fast-growing startup. The ideal candidate will have a strong finance and credit markets background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders.

Responsibilities
As part of the Quantitative Modeling team, you will:
-Analyze loan performance data and detect trends.
-Build performance, pricing and risk models for loans and structured credit investors.
-Streamline systems to improve data collection, accuracy and analysis.
-Work with investors and other stakeholders on reporting and data requests.
-Design, implement and test risk management policies and procedures.
-Create forecasting, stress and scenario analysis tests.
-Support the development of loan underwriting models that drive loan originations while minimizing credit losses.
-Collaborate intimately with internal teams on product development as well as cross-functionally to support company goals.

Your Background and Skills

Strong understanding of financial concepts, in particular fixed income, credit and structured products.
2-5 years of experience in a financial markets / research or data scientist role.
2+ years experience using Python to build financial models, run statistical analysis and automate Excel-based processes.
2+ years experience with SQL and data visualization tools.
2+ years of experience with data manipulation and analysis with large data sets.
1+ years experience with fixed income cash flow waterfall modeling
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive

Nice to Have:

Product knowledge and experience in fixed income securities, particularly student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as quantitative finance, financial engineering, data science, econometrics, etc.
Demonstrated passion for Climb’s mission to expand access to quality education
The capability of expanding quickly into larger responsibilities as the company grows rapidly

Read about us in the news, check out our company values, and find us on Comparably.

Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.


Data Scientist

About JW Player:
JW Player is the leading video software and data insights platform that gives our customers independence and control in today’s Digital Video Economy. Founded over a decade ago as an open source video player, JW Player’s technology platform now powers digital video for hundreds of thousands of businesses across NA, EMEA, APAC and LATAM. Each month, there are over 1 billion viewers across 2.7 billion unique devices consuming video on JW Player’s technology.
The Data Science Team:
The Data Science team at JW Player uses the billions of data points that we collect from our video player and products to create novel data products and improve existing products through research and experimentation. We develop models to meet critical business needs, and we champion a data-driven culture at JW Player.
The Opportunity:
JW Player is looking for a Data Scientist to join our internationally growing team. As a Data Scientist, you will be a part of a collaborative, creative, multidisciplinary team of Data Scientists, Engineers and Analysts. This is an exciting opportunity to make an impact with R&D decisions, product analytics, and machine learning models for one of the most innovative companies in the video space.
As a Data Scientist, you will:

Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization

Requirements of the role:

1+ years experience of developing data science products
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, Numpy, Scipy, & Scikit-learn
Knowledgeable and experienced with statistical modeling and machine learning
High proficiency with SQL and relational databases
Exceptional data visualization skills
Good organization skills, ability to lead multidisciplinary projects
An ability to story tell with data to technical and non-technical audiences

Bonus Points:

Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto

We are an equal opportunity employer and value diversity 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.


Senior Manager Data Science

•Guides the creation of performant data systems and analysis that work at scale for multiple projects.•Provides coaching, performance evaluations, career development support and opportunities for team members.•Collaborates with studio leadership to support studio cultural values and foster a positive work environment.•Collaborates with project management to maintain a team schedule that meets project goals and deadlines while supporting a sustainable team workload.•Guides and manages the data team's work and ensures its positive impact of the data, from the micro (engineering analysis of bugs and performance) to player experience with the game itself, and the macro (financials, customer acquisition and retention, etc.).  Collaborates with many partners, including engineering, finance, design, and leadership.•Works closely with Design, engineering and other departments to provide technical, scheduling, and creative feedback on game, develops project goals and communicates technical requirements and limitations.•Directs strategy for data collection, storage, and retrieval; builds, buys, borrows, or partners to implement solutions.•Structures and staffs team appropriately, including acting as hiring manager for and ensuring efficient onboarding of new employees.•Maintains thorough understanding of team’s technical systems and provides guidance to team members.•Contributes direct technical work, though never at the expense of non-technical responsibilities.•Ensures that all complaints and concerns related to inappropriate or unprofessional conduct in the workplace are addressed immediately to foster a safe work environment•Evaluates games in development to help inform data science tools, techniques, and decisions.•Other duties may be assigned.


Data Scientist Cv Nlp

About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.

With more than 30+ billion digitized global historical records, 125+ million family trees, and 22+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.

We are hiring a Data Scientist with Computer Vision expertise to join our centralized Data Science & Machine Learning Team. Reporting to our VP of Data Science, you will be a leading contributor on a team bringing together advanced degrees and expertise solving Ancestry's toughest and most exciting data science challenges. You will have access to Ancestry's unique content collections and data spanning decades and centuries across a variety of media channels. Your mission is to mine, extract and organize information from these collections to create user experiences to inform, enlighten, and delight customers. You will have the potential to be fully remote (some states excluded).
What you will do...
Use Computer Vision and Natural Language Processing (CV-NLP) methods and expertise to build models that extract and organize information from billions of historical and genealogical records.
Build models that promote product development, customer success, and content creation across our Family History business.
Work with teams and partners across the company providing data science support for multiple projects.
Advocate for a data-driven culture and push long-term value creation through development of outstanding data science capabilities.
Who you are...
2 years related professional experience
Expert level in machine learning, computer vision, and deep learning
Excellent project management and written skills
Experience translating requirements from partners into detailed implementation plans
Experience completing multiple data science projects end-to-end; from idea generation, objective formulation, to implementation and deliverables
Experience understanding and implementing published models and methods for practical application and real-world problems.
Experience in document image processing i.e.: computer vision methods, image classification, object detection, segmentation, layout analysis, redaction, handwriting recognition.
Preference for experience building and training models with deep learning frameworks like TensorFlow and Pytorch.
Strong proficiency in Python and related imaging tools and libraries, Java and multi-threaded programming preferred
Preference for current familiarity with leading trends and advances in document analysis and recognition, and experience with cloud (AWS)

Helping people discover their story is at the heart of ours.  Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers
#GDSponsored
#IND2
#LI-MK1

Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.

All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.

Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


Senior Manager Data Science

About the role

Andela’s two-sided marketplace is a multifaceted hub of expert talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns, and many others. Data Science (DS) is a crucial weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning (ML) on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. The Senior Manager, Data Science role at Andela will be the primary conduit for all data science-related projects for Andela’s product marketplace as well as other business initiatives. You will be managing a team of high-quality data scientists, collaborating with the machine learning and operations research technology leads, coordinating all data science activities, and guiding execution in collaboration with the Andela data, engineering, and product teams.
Key Responsibilities

Manage a team of data scientists and coordinate with technology leads.
Execute projects in collaboration with data, engineering, and product teams.
Work with the Director of Data Science on defining data science team composition and roadmap for the autonomous talent marketplace.

Requirements:

Graduate degree (MS/Ph.D.) in engineering/information systems / applied science or equivalent practical experience.
High fluency in ML algorithms and other data science approaches.
Minimum 5 years of work experience deploying algorithms in production for impactful B2B or B2C products.
Flexibility in working with a variety of data science approaches.
Evidence of team management and leadership in a multifaceted environment.

Benefits

Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from Andela.
Quarterly work from home stipends.
Flexible working hours.
Equity (as a part of compensation package).
Healthcare, 401k / pension (US only).
Andela Affinity Groups.
Growth & development paths.
Generous Paid Time Off, Parental Leave, Compassionate Leave.
And more to come! We're on a journey to reimagine global benefits at Andela.

#LI-MV1


Data Scientist

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.“I want the best and brightest people we can find to join our team to help us be successful, and you can live anywhere you want. What COVID did was force a mind shift; we see how productive we are working from anywhere and how much our employees love it. It’s more important to be productive than be busy. If you force people to come to an office every day, then everybody’s going to try to be busy,” Dan Henry, President & CEO. (quoted in CNBC)<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’.  The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas.  We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions.  The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well.  The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering, BI, Model Risk Management, IT and Product teams as needed to deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with Marketing, Product,  Operations (fraud, supply chain, risk) or other business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters in similar field is a plus
7+ years of experience in data science or advanced analytics
Advanced understanding of  data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required) , other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.


Senior Data Scientist

Who We Are:
About Grow Therapy
We’re on a mission to fundamentally transform mental healthcare accessibility. Grow Therapy empowers therapists to launch and grow thriving in-network private practices. We’re creating game-changing technology to build America’s biggest behavioral healthcare group and ensure that anyone can afford quality mental healthcare. Following the mass increase in depression and anxiety from the pandemic, the need for accessibility is more important than ever.
To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Our founders come from Harvard Medical School, Stripe, and Blackstone, and are champions of balancing bold ambitions with a culture that promotes holistic well-being. Since launching in 2020, Grow has raised over $15M from top VCs and angel investors, including leaders from SignalFire, Village Global, Airbnb, Oscar, Nurx, Quartet, and Blackstone.
Role Overview
Since founding, Grow has been gathering rich data throughout our systems. We are looking for an entrepreneurial Data Scientist to cut, analyze, and use insights to drive recommendations that will highly impact the business. As a Senior Data Scientist, your work will be highly cross-functional, touching various aspects of the business (growth, billing, operations, and more) and you will report directly to Grow’s CTO and collaborate with the CEO.
From a high level, implement ML features that will drive huge impact, explore our data and showcase to the executive team where we have leverage as a business, and help set and measure KPIs. More specifically, you’ll be owning three projects:
(1) Optimize search and discovery for the client marketplace (www.growtherapy.com), improving conversion from visitor to client. You’ll analyze marketplace data and build data products to extract valuable insights that the Growth team can take action on.(2) Analyze the efficacy of different growth channels. As Grow explores various new channels for client acquisition, you'll be responsible for collaborating with the Growth and Marketing team to track success of these efforts and make recommendations accordingly. This includes understanding which channels drive certain bookings, such as specialty, identity, age, gender.(3) Build an automated internal KPI dashboard across business functions (billing, revenue, client, etc), specifically to improve our Revenue Cycle Management. You’ll coordinate insurance data to optimize performance metrics of our provider network to understand follow-up rates and variations by permutations, ultimately to improve our provider-client matching efficacy. These insights will be directly communicated to Grow’s CEO.
Requirements
Mission-driven and passionate about making a difference for improving accessibility to quality mental healthcare3+ years of relevant work experienceYou’re a SQL NinjaCritical thinking skills to distill data to the most valuable insights to inform business decisionsExcellent communication skills to share data insights with the C-Suite and collaborate closely across functionsExcited about being a decision-maker, driving recommendations, and working in a rapidly growing startup environmentBonus: startup experience, Master’s degree in a quantitative field
Benefits
The chance to transform the mental healthcare landscape and drive impact from day oneOur dedication to mental health guides our culture. Wellness benefits include unlimited PTO, winter break, Mental Health Mornings (2hr each week), wellness stipend, team meditation, lunch on us, and so much more!Comprehensive health insurance plans, including dental and visionFlexible working (hybrid of in-person & remote), relaxed dress code, office petsContinuous learning opportunities which include dedicated learning days, generous learning stipend, and monthly mental health workshopsStrong ownership of your work, mentorship, and unbounded leadership opportunities. You’ll have the opportunity to help build a rapidly scaling organizationCompetitive salary
#LI-Remote #Bl-Remote


Data Scientist

about the data scientist, decision sciences role:soona is looking for a data scientist to join our decision sciences team as we continue to build a world-class data organization. you will work closely with the data engineering, analytics, and engineering teams to create and maintain analyses and machine learning models to evaluate new products and features created by engineering teams. to be successful in this role, you will work with the product team to understand and fulfill their analytics needs, perform experiments to split test new products and features, and contribute quality code to our dbt and looker codebases.  this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a remote work environment for this role; however, we are currently looking to hire in these states only: California, Colorado, Illinois, Massachusetts, Minnesota, New Jersey, New York, Texas and Washington with requirements to be able to work in mst or cst time zones. for flex hybrid work environments, we also have office spaces in Denver, Colorado + Minneapolis, Minnesota, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.an ideal candidate can: help create and maintain our multi-source data ingestion pipeline implement data quality tests to ensure production data is accurate and available access data from our data warehouses to create datasets for model building train valuable machine learning models that impact business decisions create internal apps that serve up model outputs and predictions in real-time deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets communicate with data and engineering teams as well as business stakeholders has experience in: effectively communicating and coding in a remote work environment python – the core language of the data organization sql – optimizing performance/transformation efficiencies on OLAP data warehouses dbt – our primary data transformation layer looker or equivalent data reporting platform general machine learning  and statistical methods aws or equivalent cloud environment (preferred) segment, airbyte, docker, airflow, flask/fastAPI (preferred) working in a startup environment (preferred) we can offer: starting salary: $110,000 - $125,000 benefits & perks + unlimited pto + intentional culture really badass headshots


Director Advocacy Nonprofit Analytics

Civis Analytics is seeking a Director to play a pivotal role in powering Civis’ growth within the Advocacy & Nonprofit sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis's business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with global nonprofits and companies, as well as Federal agencies and state & local governments, to help solve their toughest challenges with data science. The Director will manage, supervise, and mentor a team of Applied Data Scientists to deliver analytic solutions to help inform our clients’ biggest decisions.
The Director will work closely and cross-functionally with teams across the company, including engineering, product, legal, finance, and sales, to advise, oversee, and communicate work internally and externally.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology
Partner with technical, product, and sales teams to establish a strategy that accomplishes a client's strategic goals
Own engagements end-to-end and design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and developing expertise and credibility in nonprofit data science
Develop and manage relationships with clients and decision makers and be responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g., statistics, math, social science) or business (e.g., marketing, economics)
Minimum of 7 years of applicable work experience in a significant management role, management of line of business, or management of a research group
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Firm understanding of statistical software and programming applications (e.g., SAS, Stata, R, Python) and visualization technologies/libraries (e.g., Tableau, D3, Google)
Experience managing teams to complete projects within scope and on time
Experience overseeing multiple projects with competing resource demands and timelines
A track record of helping teams win new contracts
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to advocacy groups and nonprofit organizations

Preferred Qualifications

Advanced degree in an analytical subject or business
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
Experience working for a consulting, services, or advisory firm
Familiarity with machine learning and causal inference a plus

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.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
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 have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups 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 their domestic responsibilities.

Civis 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 Civis 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 us 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


Senior Data Scientist

At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.

Where You Come In:

Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments by providing thought leadership in the space
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders

What It Takes to Succeed:

MS/PhD in quantitative field and 5+ years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues.
Strong ability to troubleshoot and problem solve business challenges as well as persuade stakeholders to act.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.

It's Nice To Have:

Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms

Other Requirements:
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, political campaigns, and businesses. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.

About the team:
The Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.

Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
About the role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our internal products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.

In this position you will:
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Support research development projects and data science project plans for clients and internal initiatives
Strive to support team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Complete such other reasonable tasks as may be assigned by management

What we are seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Advanced understanding of a statistical programming language such as R, Python, or Julia
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Experience creating analytics output within a production-oriented team
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating informative and engaging data visualizations using industry leading tools
You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You can apply a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button.

Recruitment process
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually.  During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied.  We often look for explanations of "how or why" so it's helpful to have details ready.

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!
The salary for this position is $80,000 annually.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)


Principal Data Scientist Developer Productivity

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your 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 any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Atlassian is looking for a Principal Data Scientist to partner with our Cloud Infrastructure team. We're looking for someone with business instincts, creativity, analytics mastery, and experience working with software engineering teams; someone who is passionate about applying these skills to build a measurement culture connected to business impact.
You'll partner with the Developer Lifecycle (DevLife) team in our Cloud Infrastructure organisation. Cloud Infra develops the cloud components that our engineering teams use to build our products. DevLife enables Atlassian makers to maximise productivity on our Cloud Infrastructure platform; we make it simple for our teams to focus on building great products that unleash the potential of every team. We care about how we make developers more productive (DevProd) and improve their experience building our products. With over 5,000 software engineers, you will have leverage to change our business, and if we're successful, potentially the whole industry. We have the data; we need your skill, your craft, your expertise, your insight, and your guidance.
In this role you will get to:
Work with Product and Engineering Leaders in the Cloud Infrastructure team to identify high impact opportunities for analytics, and align Analytics & Data Science priorities with the team roadmapBuild on our initial efforts to measure Developer Productivity (DevProd), helping connect productivity measures to business-value, moving the Cloud Infrastructure organisation to be more data-drivenPromote a measurement culture and understand the impact of our internal strategy; including designing and analysing experiments and feature launchesEnvision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and other data scientistsShare your high-quality recommendations with multiple levels of leadership to guide impactful decisionsFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decision
To be successful in this role, you will have:
Extensive experience applying your analytics skills to identify and lead projects which have had proven impact on strategic and product roadmap decisionsExpertise in SQL and proficiency in another data science programming language (e.g Python, R)An Agile development mindset, appreciating the benefit of constant iteration and improvementExperience working with software and data engineering teams, an understanding of the software development lifecycle, and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, dash, Microstrategy)Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers), and creating compelling storiesProject management and prioritisation experience; preferably with Data Engineering, Product Management, and Software Engineering teamsExperience using statistics as part of your roleA degree in a quantitative discipline (e.g. statistics, mathematics, physics, engineering, computer science, econometrics)
It's a bonus, but not required, if you have:
Previously worked in global teams and high-growth businessesExperience developing apps and working with Cloud Infrastructure software componentsAdvanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics or other STEM fieldAn understanding of SaaS development, business model and metricsExperience building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community


Principal Data Scientist Customer Analytics

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, work to help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business.
We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way.
We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programsYou will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolioInvolved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progressBe a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insightsYou will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fieldsExpertise in SQL and proficiency in another data programming language (Python, R)Ability to create raw data and analysis into well-written contentExperience designing and analyzing experiments that impact product decisionsPassionate about customer experience, and customer analytics as a craftAbility to share analyses and recommendations to non-technical audiencesUnderstanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines


Machine Learning Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a Machine Learning Scientist specializing in paid user acquisition to join our Core Machine Learning team based in Mountain View, CA. The Core Machine Learning team builds and deploys ML modeling solutions to improve revenue and increase our active user base. This is accomplished by driving the complete end-to-end ML development cycle. We offer a unique opportunity to work in a collaborative environment, implementing the latest machine learning techniques, including NLP modeling, to solve tough, yet unique problems in the marketing space.
Your future team
The Core Machine Learning team at Atlassian is an agile team of machine learning scientists and engineers. It works cross-functionally across the organization and provides machine learning infrastructure and modeling applications to the business and partner analytics teams, with the tasks to pursue machine learning opportunities that generate revenue or user base improvements. The team is split geographically between the US and Sydney, supporting stakeholders across the regions. The team is highly nimble, with a focus on velocity between conceptualization and initial output, and on business impact.
On the first day, we'll expect you to have
Bachelor or higher degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)Industry or academic experience in the data science or machine learning domainExpertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Explain data science and machine learning concepts to diverse audiences and create a compelling storyAgile development mindset, appreciating the benefit of constant iteration and improvement
It's Great, But Not Required, If You Have
2+ years of professional experience with developing large-scale machine learning applicationsStrong knowledge of statistics, machine learning, and NLPExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience with end-to-end software development life-cycle


Head Of Bi And Strategic Analytics Css

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Do you get excited by the challenge of scaling a fast-growing company through analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and problems nobody has had solutions for? Are you enthusiastic about experimentation, fast learning and new ideas?
We're looking for someone to grow a motivated team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test hypotheses, build analytics and data science solutions, and surface insights to lead transformative changes.
More about you:
You have a background in applied statistics, economics or a related quantitative field.You are comfortable with complexity, and you have experience working with senior leaders and multiple teams.You have expertise in using data science to guide understanding, progression, insights for large organizations.
In this role you will get to:
Lead a team of BI developers and data scientists that provide operational metrics, strategic insights, and ad hoc analysis to promote decision-making at executive level of CSS.Partner with CSS executives and collaborate with team members to determine the right KPIs, information and insights that increases the efficiency of CSS.Lead senior managersPartner with teams to lead transformative projects and make impact.Be the expert to build analytics strategy, provide transparency of roadmap, and lead sprint planning.Build shared vision, empower a team of missionaries, and deliver high quality outcomes.Create relevant analytics insights, build data science solutions, and measure the impact.Manage roadmaps, sprint planning, partner engagement, and remove blockers when needed.Share complex ideas simply, advocate team's work and coach data storytelling.
On your first day, we'll expect you to have:
8+ years experience of management experience15+ years experience in business intelligence, data engineering and data science fieldSuccess at hiring and growing a global team remotelyHelp your team identify the right problem to solve when there is complexitySuccess at building a culture of data-informed decision-making, fast learning, and progressA technical background in visualization tools such as Tableau, 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
More about our team:
We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct, and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.