nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist at The Hartford

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.As a Data Scientist, you will support our Middle and Large Commercial business function as this organization continues to increase the efficiency and efficacy of its business strategies and critical decision making via data and analytics. You will be translating predictive models into business solutions. You will leverage Python, predictive modeling (Linear models, Random Forest, Gradient boosting, etc…), and AWS technologies. Your models will be used to make faster and better business decisions to facilitate profitable growth.   Responsibilities:
Develop assets to support our Middle and Large Commercial organization using Python and SQL.
Own the full lifecycle of models built for the Middle and Large Commercial organization.
Write modular Python code to ease the hand off to Data Engineers for deployment. 
Collaborate with Data Engineers, Senior Data Scientist, and Asset Owners. 
Present your work to our stakeholders and customers. 
Minimum Experience 
Must be authorized to work in the US now, and in the future.
Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field.
2+ years of relevant experience in a data science or applied analytics role.  
Subject matter expert in modeling data and analytical capabilities utilizing Python 
Experience with gathering data from structured databases (i.e. Oracle, Hive, etc..) 
Preferred Skills: 
Experience with data science in an insurance environment. 
Experience with Amazon Web Services. 
Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.) 
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$80,480 - $120,720BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeData Scientist - GD08AE
Senior Staff Data Scientist Product Health Team at Twitter

The Position
Defending the health and integrity of the public conversation is Twitter’s top priority. The Health Data Science Team partners with Product, Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Health space and use this understanding to empower the Health Organization to better protect our users.
As a Data Scientist on the Health Data Science Team you will:
Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. Design, implement, and analyze experiments to determine how new models or products improve the health of the platform. Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.Communicate findings to executives and cross-functional teams.Review other data scientists’ code and results to foster a culture of rigorous analysis and constructive feedback. Help set the team direction by driving cross-functional alignment on projects and priorities.
Qualifications
Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, and machine learning.Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.Strong proficiency with Python / R and SQL; familiarity with Spark.Experience mentoring junior data scientists. 
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Data Scientist at Twitter

The Position
Who We Are:
The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science.
What You’ll Do:
We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels.
Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter.
Qualifications
2+ years of work experience in data-driven analytics/predictive analytics/statistical modeling/machine learning/data mining.2+ years of experience in Python or R2+ years of experience with A/B testing and ExperimentationExperience using data intelligently to optimize product performanceGood understanding of how to grow and shape data tools and datasets to improve data-driven decision makingAbility to thrive in an unstructured environment, working autonomously on a strong team to find opportunities and deliver business impact
Bonus points:
Past experience in Ad-techExperience building ML modelsPhD or MS in computer science, machine learning, or statisticsGood understanding/experience of (one or more of the following): Java, Scala, or C++Interesting side projects or Kaggle competition results
Company Description
Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate, and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
Data Scientist Intern at Circle

You will aspire to our four core values:


Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.


Mindful - you seek to be respectful, an active listener and to pay attention to detail.  


Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. 


High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.


What you’ll do:
As a Data Scientist Intern, you work on meeting Circle’s goal of becoming the premier platform for tokenizing, investing in and trading of crypto assets. As a part of your job you will design and implement machine learning algorithms that significantly impact results and decision making for risk, compliance, marketing and trading functions at Circle.
What you’ll work on:

Evangelize the power of analytics to improve our business and operations
Create text-based classification algorithms to help improve customer experience across a range of products offered by Circle.
Create machine-learned predictive models that guide our fraud prevention and compliance
Become an expert on data sources and flows at Circle, including Bitcoin blockchain analysis
Collaborate with Engineering and Tech Ops teams to optimize and simplify the deployment and upgrade process for the models your team builds
Identify actionable insights and provide recommendations to cross functional groups

What you'll bring to Circle (Not all required):

Currently pursuing MS or PhD with dissertation in a topic related to data science such as machine learning, linear models and so on
Strong communication skills, able to collaborate with remote teams,  explain insights/models in an understandable way to non-experts, in both formal presentation and informal group conversations
Some experience or coursework applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning is strongly encouraged 
Knowledge of SQL and expertise with at least one scripting language (e.g. Python)
Ability to understand business problems and break down into structured analytics projects
Self-starter with a curious mindset, enjoy moving at a fast pace, constantly improving your work with little supervision
Staff Lead Data Scientist at Shopify

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.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation. 
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 excites 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
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, 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
Senior Data Scientist at Primer

As a Senior Data Scientist on the Forward Deployed Engineering Team, you will be apart of a jack-of-all-trades organization that serves as a key interface between individual clients and the broader Primer organization. Our charter is: (1) work closely with clients to discover the best use of Primer’s NLP/NLG algorithms for their needs; (2) prototype new algorithms, data pipelines, and visualizations; and (3) channel client feedback and algorithmic learnings back to Primer to drive future product development.
What you'll do:

Support the ideation and implementation of solutions and feature sets for the customers, partner with Primer’s product and engineering organizations to create and deliver.
Act as a full-stack everything: data scientist, engineer, and customer liaison for Primer.
Partner with product and engineers at Primer to identify and prioritize new features and algorithms based on customer engagement and feedback.
Build ways to analyze and understand customer engagement and product performance through modeling and data visualization.

Who you are:

3+ years of professional experience in the areas of developing and deploying machine learning and NLP-based solutions.
Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras
Proven experience working with a variety of data sets, framing customer problems and use cases, and building data science models.
Understanding of NLP topics: event and topic detection, relation, and extraction; pattern detection; entity recognition; and clustering and classification models.
Ability to think about solutions from a customer perspective, establish conceptual connections between requirements and solutions.
Experience working with AWS, Docker, and APIs.
Excellent communication skills – you will be the face of Primer to customers’ organizations.
Data Scientist at Definitive Logic

Definitive Logic is seeking an entry level Data Scientist to join our team.  This position is contingent upon award.

Responsibilities

Assist with predictive and statistical analyses and modeling.
Assists with development of models, algorithms, and metrics to facilitate interpretation of data.



Required Qualifications

Basic understanding of multiple programming languages and statistical packages such as Python and R
Knowledge of dataset tools such as Hadoop or Mapreduce.
Bachelor’s Degree, preferably in Engineering, Mathematics, or Business
Ability to obtain a government clearance



About Definitive Logic
 
Definitive Logic (DL) is a management and technology consulting firm known for delivering outcomes and ROI for agencies’ most complex business challenges.  DL delivers performance-based and outcome-driven technology consulting solutions that directly support the strategic intent of our Defense, Homeland Security, Emergency Management, Federal Civilian and Commercial clients. We’re the preferred technology integration partner for Federal agencies to apply the best of data science, app dev, DevSecOps, cyber and cloud solutions to improve decision support, empower front-line employees and enhance back-office operations. We serve as trusted advisors providing objective, fact-based, vendor & technology-neutral consulting services. 
 
Definitive Logic is ultimately a team of problem solvers — thought leaders, domain experts, coders, data enthusiasts, and technophiles.  Our exciting projects and learning and sharing culture has consistently resulted in validation as a Great Place to Work: 2021 Washington Post Top Work Places  (7-time winner) | 2022 Virginia Best Places To Work  (8 years running, #1 midsize in 2019). 

Definitive Logic is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable, or limited in your ability, to use or access our Careers page: https://www.definitivelogic.com/careers/open-opportunities/ as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Recruiting@DefinitiveLogic.com or via phone: 703-955-4186. In order to quickly respond to your request, please use the words "Accommodation Request" as your e-mail subject line.
Director Data Science at Zwift

Seniority Level: Director 
Location: Long Beach, CA or Remote 
About the role and about You: 
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities. 
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business. 
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you. 
What you’ll do: 

 Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems 
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications 
 Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products 
 Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations 
 Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models 
 Hire and develop a growing team of data scientists 

What you'll have: 

 Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields 
 12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams 
 Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling 
 Fluent in SQL and Python or R 
 Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication

Bonus points: 

 Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points 
 Passion for cycling, running, triathlons and/or experienced Zwifter 
 Passion for video games
Sr Data Scientist Data Analytics at Lendistry

EXECUTIVE SUMMARY OF RESPONSIBILITIES
The Senior Data Scientist will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on the risk, product, and revenue strategy of Lendistry. 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/, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.
ABOUT LENDISTRY
Lendistry is the country’s largest minority-led and technology-enabled small business and commercial real estate lender with Community Development Financial Institution (CDFI) and Community Development Entity (CDE) certification. We are a national employer whose mission is to provide economic opportunities and progressive growth for small business owners and their underserved communities as a source of financing and financial education.
GENERAL RESPONSIBILITIES
Support the Analytics Department by leveraging data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to improve marketing strategy and reduce risk. 
As a member of Analytics Team, research and develop new methodologies and techniques to help marketing decision and risk management. 
Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with sales opportunities and credit risks. 
Act as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes, or development of new ones. 
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. 
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. 
PROFICIENCIES
Excellent verbal and written communication skills.
Strong knowledge of 1 or more scripting and programming languages (R, Python, SQL, etc.)
Background in a variety modeling technique: GBM, logistic regression, clustering
Experience of Data ETL process is a plus
Sophisticated word processing and computer database skills, especially in Microsoft Word, PowerPoint and Excel.
Ability to think creatively and innovatively. 
Good interpersonal skills with the ability to work effectively with individuals and groups at all organizational levels, ability to work independently and as part of a team.

Complete other related duties as assigned and support the Company’s strategic initiatives.

EDUCATION AND EXPERIENCE
MS/PHD degree in a quantitative field: engineering, math, statistics, finance etc.
3+ years of experience in analytics and predictive modeling, preferably in the financial services industry
Decision Scientist Multiple Openings at Starbucks

decision scientist (multiple openings) - Remote (
Job Number:
220042760)
Job Posting
Jul 14, 2022
Job Posting End Date
Aug 14, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Decision Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only
celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Decision Scientist on the Data, Analytics, Insights, and Business Operations team, you will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics.  You will leverage statistical analysis, data visualization, and storytelling to help us identify opportunities. You will consult with cross-functional business teams, collaborate closely with technology teams, and identify ways to improve existing processes or analytical approaches. You will quickly become an expert in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store) and work cross functionally in an analytics center of excellence to improve existing processes or analytical approaches
As a decision scientist, you will…
Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting. 
Determines analytics approach to solve business problems
Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
We’d love to hear from people with:
Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline 
Minimum of 3+ years industry experience in data or decision science 
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline 
Experience building complex data sets from multiple data sources, both internally and externally. 
Strong SQL, database and ETL skills required including cleaning and managing data. 
Advanced competency and expertise in Python, R or some combination 
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities 
Ability to educate others on statistical / machine learning methods 
Self-starter, attention to details and results orientated, able to work under minimal guidance. 
Proficient in communicating effectively with both technical and nontechnical stakeholders. 
Experience on Cloud platforms such as Azure, AWS, preferred
Join us and be part of something bigger.  Apply today!
Senior Data Scientist at New Relic

Your opportunity
Using Data Scientist principles, help build Data Web Applications that power the Growth, GTM, Product, and Sales teams at NewRelic. We seek Data Scientists who are passionate about building web-based data products that will enable the entire company to consume actionable insights.
We are a fast-growing Data Engineering & Technology team building an “internal-facing data product” with a bold, ambitious vision to build the core data foundation needed to run a successful consumption business. We build core data products, promote data-driven culture, democratize insights through self-service, and establish a single source of truth in business and customer metrics.
Opportunity to work from a remote office may be available depending on applicant location.
What you'll do
Mine and analyze data from the EDW (Enterprise Data Warehouse) and other data sources in the organization to build CFS (Central Feature Store) as a foundation to support multiple DS use cases. Work with internal customers and data engineers to build and deploy Data Science models to support business use cases of customer acquisition, cross-sell/upsell, and customer retention. Work with Statistical computer languages Python, SQL, and libraries (NumPy, Pandas) to manipulate data and draw insights from large data sets
This role requires
BS/MS degree in Computer Science or PhD in Statistics, Mathematics, Data ScienceThree plus years of experience as a Data ScientistHands-on working with Python and SQL.Demonstrated ability in using numerical and machine learning libraries (NumPy, Pandas, sci-kit-learn, Tensorflow, etc.)Strong experience with the open-source and AWS Cloud ecosystem (experience with EMR, EKS, Snowflake, S3, SageMaker, and abacus.ai)Learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
Bonus points if you have
Natural Language Processing/Machine Learning
Data Scientist at Liberty Mutual

Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team.  These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication.  You will use machine learning, predictive analytic techniques, and languages/software such as SAS and Python.  These roles work collaboratively across Product Design and Modeling on a Global scale.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Delivery and Economics teams to help implement revised pricing
Potential for up to 10% travel 
Remote work available
Job Specifications:
Reference:  2022-48901
Category: Data Science
Primary Location: Remote
Additional Locations: 
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level: 
 Travel: As Needed
Senior Data Scientist Modeling at Netflix

At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are looking for an outstanding data scientist for Member Product Data Science and Engineering. As part of our team, you will build scientific foundations for understanding the member experience, such as engagement and retention forecasts, valuation models, and customer segmentations. This is a rare opportunity to change how Netflix understands its 200+ million members. You will partner with stunning scientists, product managers, and engineers to bring these models to life. This is a high-impact role in which you will have direct influence on how product and strategic decisions are made. You will play a key role in spurring product innovations to drive engagement and retention at a critical moment in Netflix’s history.
In this role, you will:
Build models to describe the customer experience, including engagement and retention forecasts and valuation modelsApply modeling and machine learning techniques to business problems at the intersection of product and data scienceAutonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocationProactively perform data exploration on engagement behaviors to discover future opportunitiesCollaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scaleDeliver well-documented datasets, tools, and reports to key technical and business partnersPresent your research and insights to all levels of the company
We are looking for:
Experience in building real-world machine learning models with demonstrated business impactStrong statistical and modeling knowledge – ideally utilized in predictive and forecasting applications5+ years of relevant experience in statistical modeling and analysis with web-scale dataDemonstrated ability to communicate and drive product change across a variety of stakeholders Strong Quantitative Programming skills in Python or RStrong SQL skillsAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.  Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative fieldPlus: Expert-level facility with forecasting techniques (e.g., ARIMA) and packages (e.g., Prophet) applied at scalePlus: Experience creating data products and dashboards such as TableauPlus: Familiarity with software engineering practice and working with APIs
Data Scientist at Disney

Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World!
Our mission as part of the Commercial Strategy organization is to put our data to work and apply quantitative techniques to discover previously unknown insights about our Guests and business.
We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings.
The Data Scientist reports to the Lead Data Science and is an individual contributor role.
Responsibilities/You Will
Pursue innovation: Research current data engineering, analytical solutions, capabilities, and technologies and translate that research into usable and sustainable solutions for usersPut your skills to the test: Perform data collection, data mining, build data science frameworks and toolsDevelopment best practices: Apply software engineering best practices to analytics code (ex: version control, testing, documentation, continuous integration, and continuous deployment)Collaborate with product and business stakeholders: Partner with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.
Basic Qualifications/You Will Have
3+ years of experience with a programming language for data science like Python, Java, etc.Experience with SQL and using databasesExperience developing practical machine learning solutionsDesire to collaborate with other data scientists, data engineers, analysts, and business partnersExperience explaining how models are used and algorithms behave to both technical and non-technical audiencesExperience gauging the complexity of machine learning problems and a willingness to implement simple approaches for quick, effective solutions
Preferred Qualifications
Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)Strong expertise with Python and libraries such as scikit-learn and SciPyExperience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, regression testing, testing, and deploymentFamiliarity with automated deployment, AWS infrastructure, Docker, or similar containers
Required Education
Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
This role is considered hybrid, which means you will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.
Benefits: Medical/dental/vision insurance, 401(k) employer match, and educational reimbursement.
Walt Disney Parks and Resorts U.S., Inc. is an equal opportunity employer. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changi
Data Scientist Entry Level at Revenue Analytics

Are you curious about applying analytics to business problems and interested in a career in data science? In this role you’ll contribute right away by digging into data to understand patterns in our customer’s business, set up reporting on key success metrics, and uncover opportunities for improving our core algorithms. Plus, over time we’ll train you on our advanced analytics and machine learning models so you can grow into a full data science role.

Day in the Life

Perform rigorous data validation and conduct deep dive analysis to understand each customer’s unique business needs to drive product configuration decisions (using SQL or Python). Examples include:
    		     o Analysis to understand seasonal patterns in a customer’s demand
			     o Analysis to understand a customer’s current pricing volatility
			     o Analysis to identify markets or segments with largest opportunities for revenue growth
Net out analysis results in business, non-technical terms, providing details into key assumptions, business impact, and recommendations for next steps
Validate outputs of optimization and machine learning models to ensure that they meet accuracy and business reasonability expectations, updating configurations as needed based on findings
Influence product development roadmap by evaluating the impact of potential new analytical features on product performance
Collaborate with cross‐functional peers to implement transformational products for customers



Who You Are

Bachelor’s degree with strong academic credentials required, Master’s optional (Engineering, Economics, or Mathematics preferred)
Creative analytical capabilities and problem-solving skills, leveraging data analysis tools (proficiency in SQL or Python required)
Intellectual curiosity and eagerness to apply rigorous analytics to business problems
Demonstrates commitment to personal growth, achieving personal goals, and growing knowledge in the areas of advanced analytics and Machine Learning
Set a high standard for your work and hold yourself accountable for achieving those standards
Ability to proactively manage multiple commitments and tasks across multiple customers
Excels in a highly collaborative team environment with a diverse set of teams and perspectives



A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.

Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
Manager Data Science at Walgreens

Job SummaryCollaborate with both internal teams and external partners to enhance our marketing measurement methodologies.  Utilize and expand the industry standard tools such as Marketing Mix Modeling (MMM) and Multi-touch Attribution (MTA) to optimize the marketing planning and media execution. Combine model results with business knowledge to inform marketing, media, and upper management teams with meaningful business insights and actionable recommendations. Develop processes to consolidate and analyze data sets from various sources. Manage project teams to ensure quality of work and on time delivery.Job Responsibilities
Manages the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations. Ensures resources are accurately allocated in line with tactical plans and appropriately accounted for.Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Performs as subject matter advisor and may serve as point of escalation and become actively involved, as required, to meet schedules and resolve problems highly complex in nature.Manages issues proactively, including timely resolution and the identification of remediation opportunities.Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.Keeps abreast of new analytic methodologies and technologies.Collaborates with functional business units to drive business solutions and direction.Establishes credibility with partners while managing expectations. Ensures frequent, continuous and effective communications with team members, and with stakeholders to set expectations and negotiate priorities appropriately, via both formal and informal channels / mechanisms.May develop budget for functional area. Manages budget to plan. May be accountable for area budget and delivering against business goals/objectives.Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application. May develop partnerships (and relationships) with internal and external stakeholders to meet business needs.Allocates available resources to meet operating objectives. Develops and mentors staff through on-boarding, open communication, training and development opportunities and performance management processes; builds and maintains employee morale and motivation; ensures the team is appropriately staffed with required competencies; fosters a diverse and inclusive workplace.
Data Scientist at Walgreens

Job Summary 
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business to improve quality of patient care. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Job Responsibilities 
Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.
Senior Data Scientist at Dick S Sporting Goods

A Senior Data Scientist in the core data science team is responsible for overseeing and contributing to the development of machine learning models and products that drive meaningful business value. The Senior Data Scientist is a leader within a business unit, which leverages their business knowledge and technical expertise to define and deliver on the vision of machine learning within their facet of the business. Senior Data Scientists are directly responsible for supporting other more junior Data Scientists who also operate in their business unit both technically and professionally.
Job Duties
Machine Learning and Statistical Applications
Build statistical and machine learning models using R and Python to improve products or accomplish business objectives
Utilize statistical methods to understand and communicate findings from complex datasets
Analyze and organize various data sources to assist in providing analysis that drives business outcomes
Prototype new ideas to quickly determine feasibility and business value     
Leadership Responsibilities
Work with Product Management/Business Leadership to define data science roadmap within context of the business
Create presentations and other materials to assist in creating buy-in and understanding with non-technical stakeholders
Assist in developing more junior data scientists both technically and professionally
Lead business facing conversations that explain technical methodologies and implementations in a approachable manner
Additional Technical Responsibilities
Assist in implementing production level model applications
Collaborate with data engineers to collect new data and improve data quality
Gather data from enterprise data sources using SQL
Improve model delivery by continuing to develop data science standards for production level code
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations