Lead Data Science Consultant

Be the pioneer in establishing data science programs and best practices for companies all over North America.
Description

The Lead Data Science Consultant is responsible for being an advisor, practitioner and mentor for enterprise data science initiatives. Reporting to the Director of Analytics, the Lead Data Science Consultant will design and deploy data science capabilities to equip our clients with timely insights that fuel an exceptional client experience and ignites an innovative workplace. This senior role requires a blend of business acumen and technical skills to build ML models that inform strategic business decisions, product development and client experience innovations that lead to the improved operational and financial performance of our clients.   The ideal candidate is client-focused and has a collaborative working style that fosters innovation within the organization, including strong analytical and storytelling skills, and technical aptitude. The individual will be required to think holistically as they work on complex problems with multiple groups and be able to provide actionable insights and informed decisions to our clients' executives.Responsibilities:Prepare data, use statistics and machine learning to investigate problems with the goal of supporting the questions representing our greatest business needs;Develop and implement heuristics and statistical models to improve our business outcomes;Steer research activities that fuel innovation and continuous exploration using qualitative and quantitative analysis, leveraging operational data to define objectives, and testing hypotheses that influence product development;Use and promote data-exploration techniques to discover new or previously unasked questions;Manipulate and analyze complex, high dimensional data from a variety of sources using a multiple tools and data analysis techniques;Use data engineering skills and knowledge in various analytical programming languages and frameworks: Databricks, Spark, Python;Support our client's Chief Operating Office, Head of Enterprise Data & Analytics and Agile Portfolio Architects in effort to define, roadmap, and evangelize their data science practice;Work with Data Governance to design data-driven solutions based on data principles and policies.

Requirements
•	Masters in Decision Science, Business Analytics, Statistics, Applied Math, Computer Science, or related field
•	10+ years of applied experience in data science, analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
•	7+ years of experience building, deploying, and maintaining supervised machine learning models in production systems
•	Expert in cloud services offerings preferably with Azure Cognitive Services and Azure ML Studio and in supporting frameworks such as Python SDK
•	Expert in machine learning technologies such as Scipy (Numpy, Pandas, Matplotlib), Scikit-learn, Seaborn
•	Expert in deep learning technologies such as Tensorflow, Keras, NLTK (NLP), CPython
•	Expert in data science and visualization tools such as Tableau, PowerBI, Looker, or ThoughtSpot
•	Expert in using algorithms and libraries for data science
•	Expert in SQL
•	Expert in conceptual and logical data design
•	Applied experience designing and executing a data science roadmap
•	Applied experience in analyzing unstructured data sets such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
•	Excellent written communication, presentation skills, and data story telling
•	Proactive in identifying use cases based on business needs and forming hypotheses
•	Ability to quickly adapt to changing priorities and generating innovative solutions
•	Financial services industry experience or other highly regulated industry experience is a plus
•	Certifications related to Data Analytics or Data Science is a plus
•	Applied experience with Salesforce Einstein Analytics is a plus
•	Applied experience in Agile, SAFe, Scrum or Lean Six Sigma is a plus
•	Applied experience with data management practices, data governance and data lineage processes is a plus


Senior Data Scientist

Legion Technologies is looking for a Data Scientist who will join  our data science team. The ideal candidate has built time series forecasting models in the past. S/he must have strong experience using a variety of data mining, data analysis and machine learning methods, using a variety of data tools, building, implementing and evaluating models, using and creating algorithms and building forecasting and predictive models.
Responsibilities:

Work with the leadership on current solutions and initiate new approaches.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Building competitive predictive models.
Develop processes and tools to monitor and analyze model performance and accuracy.

Qualifications:

Strong problem solving skills.
Experience using statistical computer languages (R, Python) and ability to build machine learning models in these languages.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their advantages and drawbacks for different solutions.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 2-5 years of experience manipulating data sets and building statistical models, has a Master’s or PhD. in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

Coding knowledge and experience with python.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees.
Experience querying databases and using statistical computer languages: R, Python, SLQ.
Familiar with: Redshift, S3, Spark.
Familiar with deep learning techniques such as RNN, LSTM, GRU.
Familiar with Map/Reduce, Hadoop, Hive, Spark, MySQL.


Senior Data Scientist

What You’ll Do:

Engage with Product Managers and key stakeholders across different departments to identify, measure and track KPIs
Identify, define and translate business requirements into analytical questions; present results and recommendations effectively
Design and execute experiments to enable data-driven decisions on product development, marketing and partnership initiatives
Collaborate with business stakeholders on designing and analyzing user surveys to inform product roadmap

What You’ll Bring:

3-5 years’ experience ideally in a fast-paced startup environment
Very comfortable with data analytics, SQL and data visualization
Experience designing experiments and conducting statistical analysis
Excited to collaborate cross-functionally
Is comfortable working remotely
Enjoys working in a highly-collaborative and supportive team
Passionate about health and wellness!
Authorized to work in the U.S.
Bonus: Background in Behavioral Sciences

Our Interview Process:
Our goal is to provide you with an exceptional candidate experience that is engaging and informative. We are transparent about our interview process for your consideration. We look forward to meeting you!

Initial Video Call
Hiring Manager Interview
Take Home Exercise
Panel Interview
Final Interview with CEO


Data Scientist

About Wurl, Inc.
Wurl, the world leader in powering streaming TV, interconnects over 1200 streaming channels from the world’s top content companies with the leading streaming distribution services in over 50 countries. The Wurl Network platform helps leading studios such as A+E Networks, AMC Networks, BBC Studios, Bloomberg, CNN, Reuters and Sony, deliver programming to the biggest streaming platforms, including Amazon IMDb TV, LG, Roku, Samsung TV Plus, Rakuten, Twitch, and VIZIO, while maximizing monetization. Reaching over 300 million connected TVs around the globe, Wurl makes it effortless for content companies to build and track global distribution for branded linear channels, live events, and on-demand programming to manage and monetize their ad inventory.
We're an entertainment tech startup with 160+ team members across the world. We've been recognized as a “Great Place to Work" after the first two years by fostering an inclusive and mission-driven culture. In addition to stock options and great benefits, our people work remotely.
Data Scientist (Remote):
Wurl is seeking a Sr. Data Scientist to join our newly created Data Science team. The team solves problems related to our business and creates opportunities for new products and better products. The team creates models using vast amounts of data that creates visibility into the company’s understanding of its own potential solutions. The Data Science team has a huge impact on the company's growth and business.
The ideal candidate is experienced with Big Data, ML processes, SQL, Python, and is most importantly an outstanding problem-solver,  has extensive experience developing machine learning models and performing advanced analytics, and has a strong background in mathematics and statistics.
Responsibilities:

Contributing to Wurl’s understanding of our data set
Contributing to data processing and machine learning initiatives
Identifying quality metrics and data features
Building data models and prediction models
Contributing to Wurl’s ML frameworks: research models
Participating in the evolution of Wurl’s data management and analysis framework
Creating solutions that are practical and can be applied to business applications

Qualifications:

PhD in Computer Science, Mathematics, Physics or relative field plus 2 years of relevant experience OR Master’s degree in Computer Science, Mathematics, Physics or relative field plus 4 years of relevant experience

Expert programming skills with Python and SQL
Knowledge of Spark/PySpark
Strong mathematical background and knowledge including but not limited to statistics, predictive modeling, linear algebra, machine learning
Experience with AI, including building ML models using frameworks such as TensorFlow, PyTorch, SparkML, scikit-learn.
Data pre-processing, visualization and data cleansing experience
Experience dealing with big datasets and databases
Effective communication skills
Works well in a team and independently
Soft skills: creative, innovative, open to receiving and giving constructive criticism, open to discussions, trustworthy and reliable
Proven record of being an outstanding problem-solver
Location: US remote.

Pluses:

Advanced proficiency with data visualization tools (such as Tableau, Power BI, Domo)
Knowledge of fundamental NLP concepts and updated  with the state-of-the-art NLP models
Knowledge of AWS, Snowflake, Databricks and Git
Publications in a peer reviewed journals

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.

What We Offer
Wurl provides a competitive compensation and excellent benefits package including medical, dental, vision, life/disability insurance, 4 weeks of paid time off, 10 paid holidays, 401(k), flexible schedules and HSA. We are a fun, creative and collaborative remote work environment, headquartered in Palo Alto, CA. We live our values everyday in how we work with one another and support our clients. Wurl is truly a unique place to learn, create and have a daily impact on millions of people every day.
Our promise to you
Few companies will allow you to thrive like you will at Wurl. You will have the opportunity to collaborate with the industry’s brightest minds and most innovative thinkers. You will enjoy ongoing mentorship, and you will understand what we mean by “human connection.” You will be proud to say you’re a part of the company revolutionizing TV.


Principal Modeler Principal Data Scientist Cyber Risk Supply Chain Can Remote Option

Guidewire is searching for a catastrophe modeler to join us on our mission to transform cyber-insurance with the industry's leading cyber risk platform. Cyber is the #1 threat to US national security, above nuclear weapons, and our work here makes a meaningful impact in this space! You will report to the Director of Risk Modeling.

Who We Are, What We Believe, & What We Build
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance.

Who You Are
You are a passionate and creative problem solver, excited by the prospect of pursuing hard problems and exploring the unknown. You enjoy applying quantitative methods.

Responsibilities

Developing and implementing methodologies to quantify the impact of cyber security risk, with a specific focus on supply chain-related events
Developing and implementing tools to effectively visualize the potential impact of potential cyber events
Exploring different data sources to come up with features and assumptions to enhance our set of risk models
Calibrating, testing and validating different types of models in the insurance space
Integrating/automating modeling processes in our production pipeline to feed our platform
Communicating technical details related to the models and their outputs to a variety of audiences
Collaborating with cyber analysts, data engineers, risk modelers, and product managers

 Qualifications

PhD or MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines
Solid statistics and predictive modeling foundations
5+ years of experience in data analysis, feature engineering, data visualization and hypotheses testing

Nice to have
Experience with network analysis/modeling, supply chain analysis/modeling OR  graph analysis/modeling

#LI-remote

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in  the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Sr Data Scientist Analytics Forecasting

About Quizlet:

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.

Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.

Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.

To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.

About the Team:

The Data Science & Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. We leverage product data, external education trends, and statistical models to inform the company strategy. The team is supported by Machine Learning and Data Engineering teams that partners with us to make sure we are building a data-driven culture.

About the Role:

As the Forecasting & Research Data Scientist, you will partner with a cross functional team of Data Scientists, Engineers, and FP&A Analysts to build the models underpinning our user growth model. You will focus on improving our short term and long term user growth and engagement forecasting model. We are open to the role being fully remote or located near one of our US offices.

In this role, you will:

Own our user growth and engagement forecast model from start to finish
Partner with FP&A and Data Scientists to recommend how the business should be modeled
Communicate performance metrics, explaining the business reasons for variance from the forecast to our executive team and senior leaders across the company
Drive a deeper understanding of our business through leading deep dives across a variety of business topics
Conduct external research on education trends around the globe and how they could be affecting our business
Manage a variety of stakeholders that provide inputs and consume outputs of the user forecast
Mentor junior team members

What you bring to the table:

5+ years of industry experience in data science, analytics, economic consulting, or finance (quant)
Advanced SQL skills, window functions, sub-queries, etc
Proficient Python skills
Strong foundational understanding of statistics and work experience in owning models
Proficient knowledge in financial modeling in excel
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others

Bonus points if you have:

Experience with forecasting using Facebook’s Prophet library
Degree in Math, Physics, Statistics, Economics, or other quantitative fields

Compensation, Benefits & Perks:

Colorado candidates: Base pay for this role starts at $114,000.  The actual pay may be higher depending on your skills, qualifications, and experience
Employees are eligible to participate in the Quizlet stock option program
Collaborate with your manager and team to create a schedule that ensures a high level of productivity (creating that ideal work/life balance)
We offer 20 days of paid vacation (and we expect you to take them!)
Comprehensive health coverage (Anthem, Kaiser), HSA, FSA, dental and vision (Guardian), competitive salary, 401(k), and equity
Other perks include: Wellness stipend, pet insurance offerings, annual learning and development stipend, commuter subsidy, and 40 hours of annual paid time off to participate in volunteer programs of choice
In addition, we offer access to mental health resources, fertility education, fertility preservation, IVF, genetic testing, surrogacy, adoption, and more

We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives  a comprehensive view of who we are!

In Closing:

We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.

We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.


Data Scientist

Who We Are:
At Hangar, our focus is innovation in the service of humanity. We fund and build companies that have the potential for public impact at scale. As a team, we work with both our investors and portfolio companies to help them achieve their technology-driven goals. The services we provide span from ideation to strategy to product incubation. You can review our portfolio companies here. If you are a savvy, mission-driven operator or technologist looking to build the world’s next radical change, this is the place for you.

Position Description:
Hangar is seeking candidates for Data Scientist to be located in New York, NY (or remotely within the United States). At Hangar, we work as a team of product managers, designers, engineers and data scientists to support our portfolio companies get off the ground from seed stage, providing tactical support for product development. The companies span healthcare, natural disaster response, and location intelligence for infrastructure utilization. Each one of these presents interesting and complex data science challenges. Hangar is looking for candidates that can work closely with portfolio companies to help them develop their data science strategy and solutions. The ideal candidate is a strong data scientist, a critical thinker and a good communicator who is passionate about mission-driven work for public good. Get in on the ground floor of our expanding team!

Us:
-We move quickly and deliver amazing tools and products with our portfolio companies.
-We work closely across our organization and portfolio companies to frame and tackle goals, both mathematically and within the business context.
-We determine and gather the right data to generate meaningful analyses and mathematically sound predictive models.
-We partner with product and engineering to deliver platforms for our analytics and data science solutions.
-We design and run statistically sound experiments to uncover predictors of performance.
-We collaborate and communicate with stakeholders to share rationale and findings from models and analyses.

You:
-M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field. (Ph.D. preferred)
-2+ years of industry experience delivering successful and innovative machine learning products both in scope and on time.
-Strong skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).
-Demonstrated ability to collaborate with both technical and non-technical stakeholders, collecting requirements and interfacing with other teams.
-Experience in production-level coding, especially in cloud environments is a plus.
-Excited to work across startups, wearing multiple hats while staying focused on the most important deliverables
-With the above said, we always encourage people of all backgrounds and experiences to apply. We understand that job listings don't always allow your unique work history to shine so we invite you to show us what you know!

Seniority Level: Mid-level

Hangar is an Equal Opportunity Employer
Hangar Alpha LLC does not discriminate on the basis of race, color, religion, religious affiliation, national origin, alienage or citizenship status, age, sex, sexual and other reproductive health decisions, creed, disability, sexual orientation, gender or gender identity or expression, marital or partnership status, pregnancy, arrest or conviction record, caregiver status, military or veteran status, actual or perceived status as a victim of domestic violence, sexual violence or stalking, unemployment status, credit history or any other basis prohibited by applicable law.


Cornea Lead Data Scientist

Who We Are:
Our mission at Cornea is to be a public good corporation that brings modern data and machine learning techniques to wildland fire management and disaster response. Every year, the intensity and scope of wildland fires increases with climate change -- average acres burned per year nationally has increased from 2.1M in the 80s to 7.8M now. And yet, firefighters have very few tools to leverage technology, historical fire data, and the massive amount of data available about weather, ground conditions, and terrain. At Cornea, we are building a machine learning enabled suite of tools to inform critical decision-making for both emergency operations and planned events to increase safety and effectiveness in combating wildland fires.

Cornea is a seed stage company in incubation at Hangar, a firm that funds and builds technology companies tackling public sector market challenges. With US annual spend at $5B for wildland fire suppression and a quickly increasing need for collaborative and predictive tools, we see a huge opportunity in this space and are excited to be a part of tackling this important challenge.

Position Description:
Cornea is seeking candidates for Lead/Principal Data Scientist to be located in New York, NY (or remotely within the United States). With fire and fire spread prediction sitting at the crux of Cornea’s mission, you will be leading the effort for our key core offering -- this role has the potential for huge impact on our trajectory, with expanded team management opportunities as we grow.  The data science work will be focused on improving fire prediction algorithms with specific focus on high quality evaluation methodology. You will also work closely with the product and engineering teams to improve data accessibility and efficiency of algorithm iteration. Additionally, you will be responsible for interfacing with the research and academic community in this space and will lead the effort to publish our findings in academic research journals. The ideal candidate is a strong data scientist, a critical thinker and a good communicator who can define and lead important initiatives. Get in on the ground floor of our expanding team!

Us:
-We move quickly and deliver amazing tools and products for disaster response collaboration and fire analysis.
-We leverage existing research and methodologies to analyze and build models for fire suppression and disaster planning. We build platforms and resources to connect and share our findings and the massive amount of data available about weather, ground conditions, and terrain.
-We design and run statistically sound experiments to further uncover predictors of performance.
-We work closely across our organization to frame and tackle goals, both mathematically and within the business context.
-We collaborate and communicate with the fire community to share rationale and findings from models and analyses and facilitate firefighting effectiveness.

You:
-M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field. (Ph.D. preferred)
-5+ years of industry experience delivering and scaling successful and innovative machine learning products both in scope and on time.
-Strong skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices.
-Comfortable in a startup, wearing multiple hats while staying focused on the most important deliverables.
-Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients.
-Experience working with the academic community and publishing papers in research journals is a plus.
-With the above said, we always encourage people of all backgrounds and experiences to apply. We understand that job listings don't always allow your unique work history to shine so we invite you to show us what you know!

Seniority Level: Senior level

Cornea Inc. is an Equal Opportunity Employer
Cornea Inc. does not discriminate on the basis of race, color, religion, religious affiliation, national origin, alienage or citizenship status, age, sex, sexual and other reproductive health decisions, creed, disability, sexual orientation, gender or gender identity or expression, marital or partnership status, pregnancy, arrest or conviction record, caregiver status, military or veteran status, actual or perceived status as a victim of domestic violence, sexual violence or stalking, unemployment status, credit history or any other basis prohibited by applicable law.


Senior Data Science Manager Operate

About the role
Data Science & Engineering is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful.  From delivering merchandising insights to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to the platform via an array of open source tools.
We are looking for a Senior Data Science Manager to lead the team that partners with our Operate data team (part of Core). The Shopify Core is what’s “in the box” when merchants sign up for Shopify: the world’s best Online Store, Checkout, and the Admin to set up and run their business. The Operate’s Mission is to help merchants start and run their business on Shopify’s platform by building the most powerful Admin. Operate Data Science and Engineering team contributes to this mission by building best-in-class insights and data products to enable every merchant’s success.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will be responsible for the evolution of all admin tools (such as admin home, navigation, search, etc.) across mobile and web and tackle the evolution of how our most sophisticated merchants are utilizing our platform (large organizations with multiple businesses and staff). Your team will focus on developing strong data foundations, data-informed products, and reporting and experimentation frameworks to empower the Operate organization to make great decisions quickly.
Qualifications
You will need to have:
Team development: You’ll need a demonstrated track record of attracting top data/analytics talent, developing those people (both ICs and managers) to make them even better, and managing the growth of teams. You have several years of experience managing and scaling multiple teams.
Data Experience at scale: You’ve been a leader in multiple companies where analytics on top of massive data sets drives product/business decisions and results in powerful data products. You have extensive experience with technologies like SQL, Spark, and Python.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure the success of our products; you'll be equally strong at making sure the data needed to support those metrics are available. You have multiple years of experience managing decisions at scale, including causal inference and experimentation.
Well-balanced skills: People have trouble pinning you down. Business, product, and technical teams claim you as their own.  You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
Mode/Tableau
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Science Manager Commercial

About the role
Data Science & Engineering is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful.  From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools.
We are looking for a Senior Data Science Manager to lead the team that partners with our Commercial Data Science team. The Commercial team is a rapidly growing area within Shopify that plays a vital role in delivering on this vision by reaching entrepreneurs around the world and helping them succeed on Shopify. The Commercial team’s mission is to empower the most entrepreneurs to succeed. Commercial Data Science and Engineering builds data-informed growth strategies and data products that enable merchants to come, stay and grow on Shopify.
What your role will look like:
Working closely with an interdisciplinary team, you and your team will tackle challenging marketing, commercial and growth-related problems. We build strong data foundations, anomaly detection tools, and reporting frameworks to empower the growth organization to make great decisions quickly.
Some of the Data Science & Engineering team members you’ll work with:
Ella Hilal, Director of Data Science, Growth and Revenue
Kiran Jain, Director of Data Science, Growth
Shopify team members you’ll work closely with:
Morgan Brown, VP Growth
Qualifications
You will need to have:
Data Experience at scale: You’ve been a leader in multiple tech companies where analytics on top of massive data sets drives product/business decisions and results in powerful data products. You have a strong background in machine learning including experience implementing models and productionizing innovative end-to-end machine learning systems.
Analytics expertise: You’ll need to be amazing at coming up with new, meaningful metrics to measure success of our products; you'll be equally strong at making sure the data needed to support those metrics are available.
Well-balanced skills: People have trouble pinning you down. Business, product and technical teams claim you as their own.  You are equal parts technical and functional (and both are exceptionally strong), and you are equally comfortable and effective at presenting to technical or business leaders.
Passionate about business strategy: You’ve experienced and thrived in similar channel-related environments and have a knack for working with business users that are responsible for top-line growth.
Team development: You’ll need a demonstrated track record of attracting top data/analytics talent, developing those people (both ICs and managers) to make them even better, and managing the growth of teams.
Key technology stack and tools we work with:
Python
SQL
Spark
Google Cloud Platform
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Data Science Manager

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build  models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both).  You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Lead Data Scientist Machine Learning

About the role
About the roleData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.We are currently looking for Staff Data Scientists to be part of our new visual attribute extraction technology called Deep Tagging.
Deep tagging is transforming the online shopping experience by enabling image and text-based product understanding,  leveraging Computer Vision, Natural Language Processing and deep learning technologies that mimic the way customers think about products.As Staff Data Scientists on this team, you will get the opportunity to push products and business forward, focus on solving important problems and get to experience an opportunity to become an AI expert in the ML Computer Vision and the Deep Learning space.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
2+ years of experience in one or more of the following areas - CV, NLP, deep learning or artificial intelligence
You have a well-built technical experience that inspires individual contributors’ creativity and innovation.
You feel comfortable designing and training  Deep Learning models for object detection in images/ image classification/ text classification
You have experience with product leadership and technical decision-making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level but are also able to contribute to long-term initiatives by mentoring your team
Multiple work streams excite you, you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals
Great if you have:
Previous experience using Spark
Previous experience working with MLFlow
Previous experience using Ray
Experience with statistical methods like regression, GLMs or experiment design and analysis.
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Director Measurement Data Science Consultant

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.

This role is part of a larger Bioinformatics & Data Science team at GRAIL whose work is at the heart of the company’s products: from diagnostic classifier algorithms for cancer screening to scientific software pipelines for rapid model development.  Within this team, you will lead the data science function focused on all aspects of measurement data: design-of-experiments, measurement systems analysis, statistical process control, non-clinical assay bioinformatics, scientific data management, and study design.  You will work with diverse teams including biostatistics, software, clinical, regulatory, operations, research, product development, and external collaborators. Your work will result in exciting discoveries in cancer biology, impactful publications, and potential future products.

Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.

In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.

GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL.


Lead Data Scientist

About us:
Chief is changing the face of leadership. Our mission: build the most powerful network focused on connecting and supporting women leaders. Our members are VP and C-level executives across every industry who are leading their companies today and building a more equitable tomorrow. Chief was recently recognized as one of Fast Company's Most Innovative Companies of 2021, and you can read more about us in Forbes or watch us on the Today Show.
Launched in early 2019, Chief is a Series B stage start-up backed by General Catalyst, Inspired Capital, Primary Ventures, CapitalG, and other top-tier investors. The Chief network includes 12,000+ members from across the United States and United Kingdom. We are headquartered in New York City with additional Flagship spaces in Los Angeles, Chicago, San Francisco, and London.
We are tech-powered. Our members make meaningful connections, engage in compelling discussions, and view our unique content through our digital platform. Our Product and Technology teams are building the future of that platform, with data and insights at its heart.
About the Role:
Chief is seeking an experienced Data Scientist focussing on personalization to join our small but growing fully remote Data team. The mission of this role is to build recommender systems that maximize the value our members derive from our professional network. You will build discovery tools to connect members 1:1 and in groups, help them discover relevant content, meetups and events, optimize their user journey based on their interests, and much more.
We solve problems with approaches that span from scrappy heuristics to algorithms you can only find in obscure academic literature. You will work autonomously from ideation to deployment in production (full disclosure: we’re still building the deployment pipeline) and collaborate with business stakeholders, product managers, data engineers and data scientists across the organization. The tech stack you’re going to work on lives in AWS and includes dbt, Redshift, and Posit Workbench and you will have a big role in evolving that stack over time. Personalization is a key contributor to our retention strategy, and your role will be critical to the success of Chief.
What you’ll do:

[20%] Ideation, development of ideas, ROI calculations to determine where personalization strategies provide the most value for our members, collaborate with business stakeholders to understand the nuances of our business
[40%] Build data workflows, feature engineering, algorithms and recommender systems
[20%] Work with tech, product and data engineering teams to deploy your models to production
[20%] Help evolve our tooling and tech stack

What you’ve done and enjoy doing:

Strong skills in statistics and machine learning
Fluency in python
Prior experience building recommender systems, especially in a subscription context
Experience with relational databases / SQL
Passion for working with stakeholders and curiosity about our business model
Scrappiness and the ability to thrive on autonomy
Great communication skills

You Get Bonus Points For:

Experience with Redshift and the broader AWS stack
Experience deploying machine learning algorithms in production and writing production quality code

Why You'll Want to Work Here:

Competitive salary and equity
Flexible vacation policy and 4.5 day work weeks
20 weeks of paid gender neutral parental leave
Full medical, dental, and vision packages, 401(k)
Opportunity to work for a startup focused on driving real change for women in business
Opportunity to create and attend inspiring experiences and events with leaders of the industry

Access to our ongoing virtual Chief member exclusive content, including workshops, thought leadership, and iconic speakers

Wellness, Work from home and Learning Stipends available

While we’re committed to remaining compliant and adhering to mandates, for us, pay transparency is more than a consideration of what’s lawful and unlawful but rather, an opportunity to disclose what’s required, and what we think is a fair and equitable compensation framework.
At Chief, we want to hire, develop, and retain the best talent, making Chief a top destination to accelerate your career. Our compensation framework is a key part of our vision, and we continually revisit and invest in our philosophy and framework to ensure we remain competitive and relevant, on a quest to achieve our vision.
The pay transparency mandates, as well as our own policies and practices, are a means of narrowing the gender pay gap and fostering an engaged and positive working environment that builds trust, on our mission to change the face of leadership.
The base salary for this role is: $190,000.00

#LI-Remote


Senior Data Scientist Product Pricing

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Department Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
Job Summary:
As a Lead Data Scientist in the Pricing Sophistication Team, you’ll play a hybrid role, leading and coaching a small team of Data Scientists and performing hands-on work, building innovative pricing and underwriting models to support transformation in Allstate’s Business Insurance (ABI) products.  You can look forward to an excellent partnership with the stakeholders you’ll be supporting; several models have been successfully adapted and have been major drivers in advancing ABI’s competitive position. Signal intelligence will continue to advance pricing sophistication and you’ll be a pivotal part of driving this forward and allowing ABI to reimagine commercial underwriting.
If you possess Insurance Pricing or modeling experience and you’d enjoy having broad influence on peers and the business area you’re supporting, we’d love to review your credentials.
Key Responsibilities:
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work
Collaborates with the team and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. With coaching can identify new areas of data, research and models that can solve business problems.
Utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Mentors and develops others
Education and Experience:
Master’s or PhD
3 or more years of related experience
Insurance pricing and/or modeling experience is a big plus
Functional Skills:
Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings preferred
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Ability to use and learn a wide variety of tools and languages to achieve results
Ability to code and develop prototypes in various languages
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience with advanced system programing
Experience working with Agile team
Knowledge of advanced machine learning techniques and libraries
Knowledge of full stack development
Compensation offered for this role is $108,000 – $150,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Biostatistician

About EIQ
Our mission is to build the world's first AI-powered claims guidance platform to transform the lives of injured or disabled workers. Our AI models understand injuries and medical treatments like a medical expert to solve the insurance industry’s big data problem.
You: A data expert who thrives in dealing with ambiguous decision-making problems, both for clients and internal stakeholders.  You’ll explore and analyze new datasets as we enter new markets – helping to define our Product and Machine Learning strategy based on your data insights. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. Ambiguity isn’t a challenge but a chance for you to define and narrow a problem space independently. You’re supercharged by having interesting, unsolved problems continually present themselves.
The Opportunity: You'll be actively impacting people's lives dramatically through AI interventions in concert with our top AI team. Your direct colleagues will be the founding team who built this platform from the first line of code, including Georg (Google AI), Karan (Bloomberg), Tom (Google AI), Arun (Facebook), and an array of other industry veterans who left top tech leaders for the greenfield opportunity at EvolutionIQ. In this technical leadership role, you’ll harness vast amounts of complex, highly proprietary data that EvolutionIQ already has access to but that no one else has worked with before.
In this Role, You Will:

Support the decision-making of EvolutionIQ’s leadership team in high stake situations using all internal and external data sources
Uncover new product research directions (hypothesis generation)
Create data insights to win clients by helping define and build the sales & marketing narrative
Present results to internal and external stakeholders
Generate meta-analysis across clients to drive product & sales strategies
Build, own, and standardize client-facing analysis and reporting on mature products
Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.
Write efficient and reliable relational database queries, write design documents, write clean & maintainable code for reproducible analytics, perform code reviews, and maintain state-of-the-art engineering practices.
Continue to grow and learn in the data & ML space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.

Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data. The ideal candidate will ensure EIQ tells excellent stories through data that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas and validate hypotheses in data leading to increase the speed of new product development significantly.
Topline Rewards: You'll be in a fast-growing position with rapid performance and promotion cycles, competitive salary, company equity, and a chance to be in early enough to make your distinct mark on our platform but late enough where you’ll be doing it for live commercial applications — not spec projects or demos. The perks are many: remote work options, company-paid professional development stipends, opportunities for cross-functional moves, and more. But just as important, we prioritize an ownership mindset — you’re the CEO of your projects, and you’ll think like a CEO and have the freedom and autonomy to make your own decisions.
Requirements:

5+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments
Sophisticated knowledge of statistics, linear & non-parametric models, and advanced SQL engineering experience
Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., data studio), and familiarity with standard statistical packages and visualization tools
Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations
Excellent communication, storytelling, and presentation skills
Proven understanding of Product and Business analytics, fundamentals, and processes
Proven ability to synthesize data insights into actionable recommendations

Even Better if You Have:

Experience in Bayesian statistics and causal inference methods
Designed, implemented, and analyzed A/B or multi-arm experiments
Written production quality code for reproducible analytics pipelines
Creativity and resourcefulness with an appetite to solve previously unsolved problems

Us: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just three years ago, and have almost tripled our company size this year alone. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people.
The Fit: We’re a team of architects and visionaries who thrive on being first. We’ve created a fun, passionate, humorous, friendly, and fiercely driven engineering culture that values delivery and personal impact above everything else. We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.
Benefits & Perks:

Compensation - The range is $180k-200k, depending on a candidate’s background and experience.

Work/Life Balance – Work from home/work from NYC (whether you’re local to NYC or visiting us on a company-paid trip); we offer generous PTO, sick leave, and weekly wellness time; and you can join us at off-site company trips (we have taken every one to Jackson Hole and Puerto Rico in past years)

Well-Being – Full medical, dental, vision, short- & long-term disability, 401k matching with 100% of the employee contribution up to 3% and 50% of the next 2%

Home & Family – Flexible 100% paid parental leave (4 months for primary caregivers and three months for secondary caregivers); for new parents returning to work, we offer a flexible schedule, and we also provide sleep training to help you and your family navigate life schedules with a newborn

Office Life – Catered lunches, happy hours, and pet-friendly office space; $500 for your in-home office setup and $200/ year for upgrades every year after your initial setup

Growth & Training –$1,000/year for each employee for professional development so you can have the ability to grow as we do.

Join Us if you want to win big, play hard, and be the engineer who makes a difference in the tech world, inside EvolutionIQ, for our clients, and in the lives of the sick and injured people, our software is helping every day.


Data Scientist Marketing

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.
The Data Scientist, Marketing role is critical to FourKites’ overall Marketing strategy and growth of the business. The role, which combines data-driven storytelling and deep data science techniques to drive our marketing growth engine, will focus on two primary areas:

Analyzing data from the FourKites network to identify major trends impacting global supply chains and logistics. Stories featuring FourKites data have appeared in The Wall Street Journal, Forbes, NBC and many industry publications.

Analyzing marketing and business performance data to help drive business growth.  As a hyper-growth company, FourKites executes a wide range of global marketing programs investing millions of dollars on digital advertising, content marketing, PR, social, events and much more. The Marketing Data Scientist will work directly across the marketing team and senior marketing management to drive the right programs, the right investments and ensure business growth.

The Data Scientist, Marketing will work closely with various members of the Marketing team, in addition to members of the Data Science, Engineering and Business Operations teams.
Responsibilities:

Leveraging FourKites platform data to uncover important trends in the logistics space, and be able to tell crisp, succinct data-driven stories through deep analysis and Tableau visualizations. Such analysis is integral to driving continued inbound media interest, and fuels ongoing Marketing campaigns
Conducting in-depth analysis of persona behavior on the FourKites website to determine the most impactful content opportunities to drive buyer behavior
Marketing Performance Analytics: Analyze channel interactions and other key indicators to determine the right mix of Marketing investments (e.g., campaign ROI analysis)
Plan and build reports to identify the buyer journey and lifecycle experience for our products, from discovery, purchase, onboarding and adoption
Automating reporting and Tableau dashboarding processes to improve productivity
Collaborating with Data Science and Biz Ops teams to build relevant data powered solutions for the Marketing department

Desirable Skills & Experience:

Experience telling stories with data, including clear data visualizations, and an ability to communicate clearly and cogently with data
Deep experience in B2B marketing channel, campaign and funnel performance tracking, analysis and reporting
Experience in analysis and reporting across advertising platforms, Google Analytics,  Marketo, Salesforce, Demandbase (or similar ABM platforms)
Ability to work quickly and independently in a fast-paced environment
Advanced Excel skills
Querying and Dashboarding tools like SQL, Tableau, Sisense, Apache Superset, Postgre SQL and Google Data Studio
Experience with data visualization tools (Tableau, Sisense, Superset, Power BI, etc.)
Proven ability to investigate data (vetting, anomaly detection and resolution, etc.)
Knowledge of Python to manipulate data and perform advanced data handling tasks

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
About FourKites:
FourKites® is the #1 supply chain visibility platform in the world, extending visibility beyond transportation into yards, warehouses, stores and beyond. Tracking more than 2.5 million shipments daily across road, rail, ocean, air, parcel and courier, and reaching over 185 countries, FourKites combines real-time data and powerful machine learning to help companies digitize their end-to-end supply chains. More than 1,000 of the world’s most recognized brands — including 9 of the top-10 CPG and 18 of the top-20 food and beverage companies — trust FourKites to transform their business and create more agile, efficient and sustainable supply chains.
FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. And we're always listening for new ways to support everyone in and out of the office.
If you are a California resident, here is our California Applicant Privacy Notice.

Salary Range: $90,000 - $130,000
Medical, Dental & Vision benefits start on first day of employment
20 PTO days, 10 Sick days, 5 recharge days, 2 volunteer days
401k with company match
Annual Wellness Stipend
Ongoing learning & development opportunities

#LI-Remote


Sr Data Scientist Pricing And Product Strategy

Who We AreWe’re Dealer Tire, a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We’re laser focused on helping the world’s largest and most trusted auto manufacturers grow their tire business—in fact, we’ve sold more than 60 million tires to date. We’re a thriving company, and we’re looking for driven individuals to join our team. That’s where you come in!As a Senior Data Scientist, Pricing and Product Strategy, your essential job functions will include the following:Provide Thought Leadership & Drive Change
Drive business results by conceptualizing and overseeing the development of advanced algorithms and mathematic models that allow the organization to maximize revenue and profitability.
Collaborate with subject matter experts to understand nuances or anticipated events that may impact analysis outcomes and ensure efforts are in alignment with the goals of the organization.
Interact closely with the leadership team to solve issues using data to assist in end-result impacts.
Identify formal and informal leaders in other functional areas—build relationships that help drive progress.
Ensure business units can leverage insights by providing clear, actionable recommendations and analytics, and guidance around measurements.
Provide data-driven insight for leadership team—draw valid conclusions and make actionable recommendations.
Convert complex analysis into visual presentations and effectively communicate scenarios and expected results.
Effectively apply internal consulting cycle, especially independent research and solution development
Locate opportunities to package data into useful products by acting promptly to the environment.
Product and Project Management
Work directly with various business units to solve emerging business problems by contributing on multiple levels.
Foster collaboration and open dialogue with key stakeholders to ensure all parties perceive the need for improvement and have clear expectations for project outcomes.
Serve as lead developer for assigned projects and help coordinate activities of team.
Guide technical design and structuring of software tools that are complex and require a high level of integration with existing systems and reporting—Provide advanced-level development, testing, debugging and documentation skills.
Build scalable solutions and balance predictive power and interpretability for the ease of successful implementation.
Manage strategic projects.
Manage development of applications and tools that drive effectiveness and execution of the company.
Establish project plans, timeframes, and deliverables according to stakeholder and organization needs.
Ensure project sponsors are consistently kept up to date on project status.
Quantify impact of analyses and changes—ensure appropriate ROI for recommended initiatives.
Manage Large Datasets
Collect and curate data needed for research, especially data that is external to the organization.
Dive deep into data—utilize programming tools to cleanse large structured and unstructured data sets.
Apply transformation techniques to move data from its raw form to usable data tables.
Use SQL and data APIs to interact with data stored in various systems from relational databases to distributed file systems.
Manage data in manner that protects privacy and confidentiality and upholds contractual obligations.
Advanced Modeling and Analysis
Iteratively, efficiently, and effectively identify and execute projects with the greatest return.
Develop mathematic models that maximize Dealer Tire and dealership profitability and inventory while minimizing costs.
Apply statistical and algorithmic methods such as hypothesis testing, regression analysis, forecasting, natural language processing, clustering, classification, survival analysis, simulations and optimization.
Other Duties as AssignedPosition Requirements
Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field.
3-5 years of related work experience.
Effective project management experience with proven results required.
Strong ability to present complex technical material to executive audiences.
Pricing optimization system experience is a plus.
Advanced proficiency in programming languages for statistics and automation (90% Python, 10% Go and R)
Advanced proficiency in MS Office (Excel, Word, Power Point, VBA)
Proficient in data-access languages (SQL, PostgreSQL, T-SQL)
Proficient with version control approaches for product development (Unit testing, Git, documentation, logging, etc.)
Experience with statistical modeling, supervised and unsupervised machine-learning frameworks is a plus (SciPy, sklearn, etc.)
Familiarity with AWS Amazon Web Services is a plus (Codecommit, S3, Lambda, EventBridge, SystemsManager, etc.)
Familiarity with Alteryx for automated reporting is a plus.
Works with a sense of urgency and is able to work independently with minimal supervision.
Competencies Required
Results Orientation
Agility
Initiative
Influence
Customer Focus
Inspire Others
Empower Others
Provide Direction
Manage Resources
Formulate Vision
Physical Job Requirements
Continuous viewing from and inputting to a computer screen.
Sitting for long periods of time.
Travel as necessary, <10%.
Drug PolicyDealer Tire is a drug-free environment.  All applicants being considered for employment must pass a pre-employment drug screening before beginning work.Why Dealer Tire: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. We offer a competitive salary + bonus, and a comprehensive benefit package including: paid time off, medical, dental, vision, and 401k matching (50% on the dollar up to 7% of employee contribution). EOE Statement: Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities. *ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Dealer Tire’s Human Resources Department to discuss your specific needs. Please feel free to contact us at ADAAAccommodation@dealertire.com or via phone at 833-483-8232.


Data Scientist

About PriceLabs:
PriceLabs was founded in 2014 by IIT / Kellogg Alumni and has been growing rapidly over the past couple of years. We serve thousands of customers in 100+ countries and our team is distributed between 8 countries.
We are a market-leading revenue management tool for the vacation and short-term rental industry. We are an SMB/Mid-market focused product with mostly self-serve and some sales-assisted motion.Our customer base grew 10x since 2019 and in 2022:
Our team grew 3xWe raised $30 million in funding from Summit PartnersWe joined hands with Rental Scale-Up to deliver in-depth market insights and actionable news to hosts & property managersWe continue to grow exponentially backed by a strong team to take us to the next level.
Why join PriceLabs?
Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)Work with a global team (8 countries and counting) of passionate individuals that accepts open communication, empowerment, and a shared focus on customer success.We are a freemium product, so marketing leads the charge on customer acquisition.We are a remote-first organisation and accept work from home as the norm.Unlimited PTO | Free Insurance | Remote Work | WFH Setup Allowance  | Flexible Working Hours | Annual Bonus Scheme | Org-wide Workation
About the Role:
Design, develop and enhance our pricing algorithms to enable new capabilities.Process, analyse, model, and visualise findings from our market-level supply and demand data.Build and enhance internal and customer-facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.Take ownership of product ideas and design discussions.Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.
About You:
Bachelors, Masters or Ph. D. in Operations Research, Industrial Engineering, Statistics, Computer Science or other quantitative/engineering fields.You have a minimum of two (2) years of relevant experience.Strong understanding of analysis of algorithms, data structures and statistics.Solid programming experience. Including being able to quickly prototype an idea and test it out.Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.Experience with relational databases and strong knowledge of SQL.Experience building data-heavy analytical models in the travel industry.Experience in the vacation rental industry.Experience developing dynamic pricing models.Prior experience working in a fast-paced environment.Willingness to wear many hats.
PriceLabs is an equal opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate on the basis of race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.


Manager Product Analytics

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care from wherever is most convenient for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers' mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol "HIMS". To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
As a Manager, Product Analytics you will help evolve our EMR Product to the next level. Your knowledge of experimentation, statistical analyses, and cross-functional efforts combined with your excellent communication skills will determine where and how to improve our provider experience. In this role you will be fully remote and report to the Senior Manager, Business Analytics.
You Will:

Own analytics for the EMR Product: conduct data analyses to support new product launches, drive improvements to existing products and inform product roadmap while operating cross-functionally across product, engineering, operations, and other stakeholders

Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
Direct experimental design: identify parameters, determine success metrics, perform data validation and monitor progress
Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics
Interpret results, draw detailed, impactful conclusions, and narrate those findings to partners

Design and build best-in-class self-service dashboards using a mixture of analytical and visualization techniques to influence business and product decisions
Collaborate with engineering, data engineering, and analytics to improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines

At a Minimum You Have:

Deep understanding of statistical methods and experiment designs for analytical problems

5+ years of quant analysis and analyzing A/B/n and multivariate experiments

5+ years of using SQL to extract and manipulate data

1+ year of coding in Python or R

Advanced knowledge of visualization tools such as Looker or Tableau

Comfort with ambiguity, evolving priorities, and an ability to operate autonomously

Ability to narrate insights for complex problems to non-technical audiences from frontline operators up to and including executives

A Big Plus If You Have:

Experience with operations data (fulfillment, contact rates, etc.) and/or healthcare data (HIPPA, PHI, etc.)
1+ years of building, growing, and managing a team of analysts

ML model development and training (Predictive Modeling)

Experience operating cross-functionally with globally distributed teams

You'll Get:

An open culture where we always seek improvement and cherish your input
Great compensation package with equity compensation

Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
High-coverage medical, dental & vision

Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need

Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance


Principal People Scientist Thought Leadership Lead

You are a builder and an influencer, shaping the Viva People Science POV and research roadmap, architecting content creation and curation systems that allow key stakeholders to execute at scale. You thrive in ambiguity and create structure and clarity for others. You simplify the complexity of the social sciences to deliver pragmatic recommendations and assets.  You act as a connector, bringing ideas and best practices together into a cohesive narrative.
You are highly effective at managing multiple project initiatives and programs, working as an individual contributor on some, and coaching colleagues to produce prolific content with quality on others. You will partner with researchers, product, and marketing to stay current on best practices, identify future trends, and to shape Viva People Science’s brand as an industry thought leader.
You like to work hard and have fun with the most talented people in the industry on a mission to help people be happier and more successful at work.  Our team members are positive, authentic, connected, and transformative.
#EXP #EXPJobs #MicrosoftViva
Responsibilities
Build and manage the system and process to connect insights and perspectives from various primary and secondary research conducted by different research teams to inform product and go-to-market decisions and discussions Evolve People Science POV strategy and roadmap and improve the core processes, practices, and assets needed to drive strategic execution.  Build and maintain consultative relationships with stakeholders, develop thought leadership across the teams, and influence stakeholders with clear and compelling POVs grounded in research and science.
Collaborate with People Science and other R&D teams to translate ambiguous problems into research questions and hypotheses.  Serve as a writer, editor, and coach to the team members developing People Science POV content.  Manage project teams and provide support and development opportunities to the team members.  Establish a smooth and repeatable rollout process to communicate all finalized content ensuring the right information is communicated to the right users in a timely and effective manner.
Qualifications
Qualifications:
Minimum 10 years experience in applying social sciences to the workplace (e.g. internal/external consulting, Human Resources , organizational development, and related areas) Track record of successful cross-disciplinary collaborations Experience building scalable research strategies and systems
Preferred Qualifications:
Masters or PhD in Industrial/Organizational Psychology or related field
US Base Pay Disclosure
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time. At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid vacation time, paid sick and mental health time, and several paid holidays, among others.
Our commitment to pay equity We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. (https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report)
Understanding roles at Microsoft The top of this page displays the role for which the base pay ranges apply – Data Science IC5.The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.