nathansutton/data-science-job-descriptions huggingface dataset:
Lead Learning Scientist at Panorama Education

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes and advance student equity by helping educators act on data and research to improve their practice.  
Research is critical to the work we do—our survey measures, reporting analytics, and product offerings. It’s part of our identity. 
If you thrive on connecting learning science to educational practice, continue reading. We are seeking a Lead Learning Scientist who will partner with colleagues across our organization, most importantly our product, design, and engineering leaders, to apply social science scholarship to product development and company strategy.
Responsibilities:

You’ll provide timely, relevant, authoritative, and usable guidance to leaders across the organization, based on best practices and scholarship from social science.
You’ll help hire, organize, and support a team of research scientists with complementary backgrounds and expertise to execute high-value research projects in a rigorous, timely manner.
You’ll proactively incorporate evidence and insights from psychology, educational research, learning science, and human development into high-level product strategies, planning, and decision-making.
You’ll collaborate with cross-functional groups of software engineers, data scientists, product managers, and product designers to imagine, design, and build research-based products that are used and loved by practitioners
You’ll help build a network of leading education scholars and policy experts to advise Panorama on product strategy.
You’ll design and oversee high-impact empirical research that leverages Panorama’s unique datasets to address key questions of interest to practitioners and policymakers
You’ll communicate research findings to colleagues, clients, and the education community at large, and author thought-leadership pieces for placement in important publications.

Our Ideal Candidate Has:

A terminal research degree in a relevant field (e.g., social science Ph.D., EdD), and preferably at least two years of postdoctoral experience in education research
At least five years of experience working in an industry setting to apply social science to K12 educational practice
At least two years of professional experience working with software engineers, product designers, and/or product managers to develop educational products
Scholarly expertise in relevant domains, including but not limited to educational psychology, human development, and social-emotional learning
A compelling record of written and oral communication, with preferably one or more relevant first-authored publications in leading peer-reviewed journals
A deep understanding of and empathy with the real-world challenges faced by educators
A passion for using research to radically improve student outcomes
Data Scientist at Panorama Education

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice. If this sounds exciting to you and you want to make an impact as a Data Scientist, keep reading.  
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
In this role:

You will compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
You will contribute to data pipelines and infrastructure to enable product development and educational research and apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
You will imagine and help implement data-driven products that aid educators to better support students by collaborating closely with other data scientists, researchers, engineers, designers, and product managers. 
You will work with colleagues and company leadership to develop our data science strategy, priorities, and practices and clearly communicate learnings, findings, and best practices to other data scientists and researchers. 

This role is for you if you:

Have relevant experience, formal education, or training in data science, data engineering, or statistics and enjoy problem-solving through data and analytics to reveal insights and improve decision-making
Can apply traditional or modern statistical methods to analytic problems including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, natural language processing, and causal inference
Are comfortable in one or more relevant programming languages (e.g., Python, R) and data manipulation tools within programming language(s) (e.g., Pandas, dplyr)
Are a team player who thrives in a collaborative, small-team environment.

Note: We at Panorama hope to bridge the confidence gap in our hiring process. If some of the above describes you, we encourage you to apply!
Nice to haves:

Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Familiar with cloud environment(s), such as AWS or GCP.
Experience using GitHub collaboratively
Lead Data Scientist Marketplace at Stockx

What this position is about:
The Data Science Team vision is to bridge the gap between strategic decision-makers at StockX. We serve as impartial, trusted advisors to the organization to drive and empower innovation. We prioritize holistic models and risk management techniques to solve business problems and develop a deeper understanding of the marketplace. We leverage that understanding to inform MVP development and test-and-learn approaches to expedite time-to-ROI.
As a Lead Data Scientist you will harness the complexity of our global two-sided marketplace and develop new features for internal and external users to grow the total resell market for consumer goods.
What you’ll do:

Dive into the unique needs of buyers and sellers throughout the global marketplace
Develop econometric, statistical, and optimization models with applications in marketplace design, pricing, and experimentation
Conduct competitive analysis to inform strategic decision-making
Present findings to both technical and non-technical business leaders
Design new data visualizations to distill complex topics for internal and external users
Partner with engineers and product managers to implement new solutions based on your prototypes
Identify new opportunities to apply quantitative methods to grow the business
Mentor junior team members and educate business partners on new approaches

 About you:

Preferred advanced degree in relevant STEM field (Economics, Mathematics, Operations Research, Applied Statistics) or equivalent experience
Ability to use a programming language like R or Python to work efficiently with large datasets
Proficiency with SQL languages and other similar tools
Experience with exploratory data analysis, statistical testing, and model development
5+ years of applied marketplace, pricing, yield management, or similar experience 
Bonus points for experience modeling network graphs, designing for antifragility, or MCMC simulation
Data Scientist at Follow Up Boss

As a Data Scientist at Follow Up Boss, you'll help answer key questions for the product and business. You'll collect, explore, and perform quantitative analysis on our data to generate insights and findings for our product and business. You'll develop and code automated processes to clean and evaluate large datasets from multiple disparate sources. You'll help improve the tooling and technologies we use to gain insights from our data. You'll collaborate closely with our product and management teams. Ultimately, your work will have direct impact on the value and user experience of our products.
Senior Data Scientist at Smartasset

About you:
As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology).
Required Skills and Experience:

Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Professional habits around model validation, testing, and tracking
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling
Experience with statistical techniques and their applications in a business environment
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
5 years of relevant working experience

Preferred Skills and Experience: 

Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience with prototype-to-production model development
Experience with model monitoring (drift / performance…)
Comfortable in working on the line between data science and data engineering

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
Data Scientist at Smartasset

About you:
As a Data Scientist you will develop and deploy machine learning models that will drive business decisions and improve user experience. You will utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, working closely with stakeholders from different teams (Sales, Marketing, Product, and Technology). You will be responsible for creating stable models that will run in a production environment.The candidate will have a quantitative background, and past experience working collaboratively with business partners to deliver impactful data products.
Required Skills and Experience:

Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc) 
Working experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Strong statistical foundation
Skilled in cross-team collaboration and in communicating technical ideas to a non-technical audience
Experience with model development/deployment best practices (documentation, git, environments, unit tests...)
An investigative journalist-type approach when it comes to getting answers to a problem
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
3 years of relevant working experience

Preferred Skills and Experience: 

Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience in model deployment, and model monitoring (drift, performance, etc.)
Experience with prototype-to-production code development
Experience in working closely with data engineers

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
Junior Data Scientist at Smartasset

About you:
As a Junior Data Scientist you will contribute to the development and the deployment of machine learning models that will drive business decisions and improve user experience. You will utilize problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, and you will communicate findings to different stakeholders.In addition to building solutions, you must possess the aptitude and hunger to learn.
Required Skills and Experience:

Proficient in Python and SQL
Data analysis and data visualization skills (pandas, numpy, matplotlib, scikit learn, etc.) 
Experience in building and iterating on predictive models (time series, classification, clustering...)
Strong statistical foundation
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background (having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field)
One year of Data Science related experience

Preferred Skills and Experience: 

Experience with time series modeling
Experience building pipelines and dashboards
Experience in model deployment and model monitoring (drift / performance)
Experience with best practices such as version control tools (git), proper documentation, library packaging, versioning, testing

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
Data Science Lead at Antenna

We're looking for a Data Science Lead to partner with the Director in establishing world-class systems and processes for the Data Science efforts at Antenna. You will have the opportunity to advance our most important initiatives because of your detailed diligence in managing our models, designing new models, and proactive collaboration with the Product team. 
You will report to our Director, Data Science. Antenna is remote-empathetic and welcomes applicants from anywhere in the United States.
 
What You’ll Do

As a Data Science Lead, you will act as a liaison between the data science team and our product management, data operations and engineering teams to deliver our next generation solutions

Ensure that our data science models are developed with scientific rigor and carefully maintained
Ensure reliable, accurate, and on-time delivery of our data solutions
Communicate with internal stakeholders & customers about any disruptions to our delivery, as well as the planned remedies to correct them

As a Data Science Lead, you will be expected to

Develop data models to ensure the quality and trendability of our reports
Develop a solution to identify errors, outliers and trend breaks in support of the efficiency of our data operations team
Maintain and improve existing solutions to reflect the constantly changing environment of subscription services
Institute standard operating procedures around our existing models to ensure stability and reproducibility of the data 
Provide a data science perspective on the design of data architecture required for our existing and future products
Assess new data partners by evaluating the quality and usability of new data sources for future development. Also, design the initial versions of data models needed to incorporate new data sets 

As a Lead, you will also be expected to provide technical mentorship to other team members and help recruit data scientists to our fast growing team


Who You Are

5 years of experience in applied data science and analytic methods (data regression, AI, classification, time series, etc)
Advanced programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas Pyspark. Familiarity with Google Cloud
Proven experience in balancing practical business requirements and scientific rigor
Proven technical leadership to identify, develop, implement and maintain data driven solutions 
Proven track record of successfully managing internal and external stakeholders through respectful candor, proactive communication, etc.
Comfortable with change and ambiguity and knows how to effectively prioritize time and resources
An affinity for our customers — consumer subscription brands
Bonus: experience managing, mentoring, or coaching data scientists and engineers
Bonus: experience in market research, marketing technology, or digital advertising 
Bonus: experience in product analytics

 
Antenna Tech Stack:

Engineering: python, SQL, Google Cloud (Storage, Dataproc, BigQuery), git
Data Science: Pandas, pyspark

Data Engineering: pyspark, postgres, redash, django, kubernetes, redis, prometheus, data pipelining experience
Data Scientist at Cresta

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.

We’re growing fast! We spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, who is the most successful German in Silicon Valley (co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more). Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, external presentations, and organizing internal and external project timelines, then we’d love to talk!


What You'll do:

Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create and maintain tooling (e.g., dashboards and visualizations) that can be used both internally and externally for communicating value and enabling others to answer data questions
Analyze large corpuses of text data using standard NLP practices: an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers



We're looking for someone who has:

Proficiency in SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows (e.g. Numpy, Pandas, NLTK, Jupyter, etc.)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
Data Science Summer Intern at Petal

The Petal mission

Petal’s mission is to expand access to opportunity, by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.  

Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers. 

At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.


The Data Science, Intern role 


We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. In this role, you will aid in the development of models and conduct research to support the Data Science team. 

We are looking for passionate people who are excited by the Petal mission.

Approximate internship dates: May 31 - August 19, 2022


Key responsibilities:

Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Explore and test new data sources to improve our risk and marketing models.
Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.



Characteristics of a successful candidate:

Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math) 
Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!) 



Nice to haves:
Strong preference to rising Seniors or candidates working toward MA/MS/PhD


Petal is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.


For our California employment information privacy statement, please click here.
Data Scientist at Opportun

POSITION OVERVIEW
We are looking for a passionate, curious and creative problem solver to be a Product Data Scientist, reporting to the Head of Data. Your role will be focused on democratizing product insights and using data to drive product strategy. If you're passionate about making a meaningful difference in people's lives in partnership with an agile, driven, and fun-loving team, we're excited to meet you.
RESPONSIBILITIES

Analyze user behavior and product usage to proactively identify opportunities for product improvements.
Design experiments to assess hypotheses.
Build dashboards to communicate data insights.
Partner with Product Managers to define product KPIs & priorities.
Deliver analysis in a format that can help drive business decisions by both executive leadership and partnering Product Managers
Continuously improve tracking and reporting processes to ensure high data accuracy & robust product understanding.
Build machine learning models to determine the drivers of member behavior, and predict future behaviors.

REQUIREMENTS


At least 3 years of experience in a related role.
Extensive hands-on experience with SQL and data visualization.
Able to develop quantitative analysis, ad-hoc reports, and models to derive meaning from raw data in order to influence product decisions and direction.
Strong communications skills and ability to present work to executive staff.
Self-starter with ownership attitude with an enthusiasm to work in a fast-paced, start-up environment.
Understand statistical principles (eg. statistical significance, sample size).

 
"The US base salary range for this full-time position is $120,000 - $145,000.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.
Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits.”
Data Scientist at Prizepicks

The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
What you’ll do:

Data cleaning operations, wrangling and visualizations.
Develop custom data models and algorithms to apply to data sets.
Selecting features, building and optimizing classifiers using machine learning techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy.

What you have:

Advanced knowledge of machine learning, data analysis and statistical modeling.
Proficiency in statistics and statistical software applications, such as Python or R.
Experience working with relational databases such as PostgreSQL.
Data visualization and report building experience is a plus.
Exceptional analytical and problem solving skills.

Where you’ll live:

Anywhere in the US is fine but Atlanta would be preferred. 

Benefits you’ll receive: 
In addition to your great compensation package, company subsidized medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including: 

Break room with ping pong, endless snacks and in-office lunch once a week
Unlimited PTO to encourage a healthy work/life balance (2 week min required!)
Modern work schedule focused on getting the job done, not hours clocked
Workplace flexibility 
Company and team outings, we encourage a tight-knit workplace
Generous Maternity AND Paternity leave (16 weeks!)
Annual bonus & stock options 
Wellness program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunity for growth and career development

#LI- DNI
Principal Data Scientist Machine Learning at Rec Room

Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We have a vibrant commercial ecosystem within Rec Room, and our goal is to enable creators to be rewarded for their work. Come join us on the ground floor to help optimize the ecosystem for both players and the business.  
As a Principal Machine Learning Data Scientist, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. You’ll be supporting creators in making a living on the platform, as well as playing a critical role in the success of Rec Room as a business. 
WHAT YOU'LL DO:

Design, develop and implement production-facing ML models to deliver valuable commerce content to our users.
Collaborate closely with the ML Infra team to define a roadmap that powers real-time personalized ranking models.
Design and run A/B tests, analyze model performance, and deep dive into the data to uncover opportunities for improvements.
Build out pipelines in collaboration with our Analytics Engineering team to enable model building on top of sophisticated features.
Set best practices, mentor, and provide guidance to the more junior Data Scientists.

WE ARE LOOKING FOR INDIVIDUALS WITH: 

Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
10+ years of ML experience in a production setting, with extensive experience working on ranking/recommendations
Experience with recommendations, ranking, personalization, search, and/or content discovery
Strong proficiency in programming languages such as Python, R, and SQL
Deep familiarity with ML infrastructure to collaborate with our infra team
Extensive experience with experimentation.
dbt knowledge is a plus
Spark/Databricks knowledge is a plus

COMPANY INFO TO KNOW: 
Rec Room provides equal employment opportunities to all employees and 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.
Staff Data Scientist Credit Card at Sofi

The Role
We are seeking a Staff Data Scientist who will help shape our Credit Card business strategy and product development decisions through data-driven insights.  This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. 
What you’ll do:


Build models to help decision makers understand customer behaviors and segmentation


Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions. 


Analyze segment performance at the portfolio level and by vintage to drive insights and optimization


Help drive customer engagement strategies including early stage engagement, balance transfers, spend programs, and retention


Help manage and analyze existing cardholder portfolio covering spend engagement, balance stimulation, and good payment behaviors


Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics. 


Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating pipelines & dashboards/reports;


Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence;


Present analyses to Credit Card and Finance business leaders.


What you’ll need:


M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;


Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;


5+ years of experience working in an analytics, business strategy, or related role in the credit card industry;


Deep understanding of credit bureau data;


Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference. 


Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;


Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;


Strong relationship building and collaborative skills;


Exceptional problem-solving skills;
Data Scientist at Cresta

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations.

We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Verizon, and Mutual of Omaha and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects of our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, building 0->1 solutions to problems, and external presentations, then we’d love to talk!


What You'll do:

Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create, and maintain self-serve internal tooling that can be used for communicating value and enabling others to answer questions
Analyze large corpuses of conversations using the latest research in NLP (e.g., LLMs): an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers



We're looking for someone who has:

Proficiency in Python, SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
Bonus: experience leveraging LLMs to solve real-world business problems in production
Senior Research Data Scientist at Coalition

About the Role
As a Senior Research Data Scientist at Coalition, you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyber insurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection/reduction, pricing, and automation to grow our revenue in a safe and efficient manner. 
Responsibilities

Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analyze large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Analyze disparate data sources and synthesize into a narrative of what is happening in the data
Train and mentor junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

Skills and Qualifications

Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background 
Understanding of and experience with experimental design and statistical methods
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Skills

Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives

Perks

100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $125,000 - $205,000, and your recruiter can share more on target salary for your location during the interview process.

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Senior Data Scientist at Onestudyteam

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To learn more about OneStudyTeam's commitment to diversity, equity, and inclusion, please see our diversity statement and information about the BRIDGE Initiative.
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Data Scientist at Eliassen Group

Job Description
**100% Remote - must work EST**   Our client, a leader in their industry, needs a Data Scientist with computer vision/image processing experience to join their team.  We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities of the Data Scientist:
Create computer vision AI/ML models based on use cases identified via business need  Determine the model algorithm stack based on use case requirements  Leverage shared libraries to accelerate development  Define, train and score models following a common use case development path  Work cross-functionally in AI/ML team to drive continued improvement of processes and deliver the next set of improvements  Partner with other functions to drive long-term roadmap, improved capabilities, and share results/processes with the organization more broadly 
Requirements of the Data Scientist: 
Experience working with large imagery datasets and managing them for model training and scoring Knowledge of common imagery formats and their associated technical packages Experience with deep learning using PyTorth, Tensorflow, Keras Knowledge of designing ML models to use case specification Experience with scaling production models using containerization  Fluency in Python; some experience with production pipeline coding - Java, Go, Scala PhD in computer science or related field preferred
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
Job ID: 377922
About Eliassen Group:
Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Staff Data Scientist Marketplace at Cookunity

The Role
Reporting to the Head of Data, this role presents a unique and exciting opportunity to lead our data science practice.
A key area of focus will be on our marketplace dynamics and supply:demand liquidity. You will use data to understand our customers, whether it be building eater personas and taste profiles or advancing our search and recommender engine capabilities.
Responsibilities

Structure business problems, build predictive models, and oversee the implementation into production. Putting a key initial focus on our supply and menu, to personalize our large assortment for the many preferences that we all have as eaters.
Partner with our supply leadership to create a data-driven framework for optimizing supply and demand elasticities through experimentation and predictive modeling. What chefs and meals should we add next?

Develop and implement online and offline testing and validation methodologies. What was the incrementality of adding African meals in Austin? What is the optimal rotation of our menu each week?

Provide thought leadership on data science best practices, trends, and emerging technologies. Leverage LLMs to build a prototype CookUnity ‘waiter’ menu experience or a ‘taste profile’ for each customer.

Oversee the creation of a modern, best-in-class data science infrastructure, partnering with engineering.
Provide mentorship and guidance to data scientists, promoting best practices and professional development.

Qualifications

6+ years of experience in data science or related fields.
Proven experience in applying machine learning and statistics to create and expand competitive advantages and company growth. Experience in any of the following is a big plus: Marketplace, Subscription, and Food industry.
Strong programming (Python / Scala / Java / C++ or equivalent) skills.
Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow.
A strong understanding of various algorithms' real-world advantages and drawbacks and the ability to measure success.
MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful.

Benefits
🩺  Health Insurance coverage
⛱ PTO policy and paid sick days.
📈 We grow, you grow: Stock Options Plan granted on Day 1.
🐣 Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid.
🕯 Compassionate Leave: 3-5 days each time the need arises.
🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.
🧘🏽‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle.
👩🏾‍🏫 Personalized Spanish coach.
🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!