nathansutton/data-science-job-descriptions huggingface dataset:
Financial Data Scientist at Amherst

Amherst is revolutionizing the way U.S. real estate is priced, managed and financed in order to unlock opportunities for all market participants. Driven by data, analytics, and technology, Amherst has a 20-year history of anticipating where the next risks and opportunities are likely to emerge and designing actionable strategies for investors to capitalize on opportunities across residential real estate, commercial real estate and public securities. Amherst, along with its affiliates and subsidiaries, has more than 900 employees, $5 billion under management and approximately $15 billion under advisement and oversight. www.amherst.com.Responsibilities:
Support modeling analytics team through research and production support
Maintain and enhance analytic applications and data structures used for modeling and forecasting
Create and document technical and user processes
Support modeling analytics team through project initiatives, research, and business objectives
Liaison between the business units, technology teams, and support teams to ensure clear communications among stakeholders
Develops documentation, reports, and project plans and prepares and may present briefings and staff seminars.
Build relationships with development teams, leads, clients, and users
Demonstrate strong intellectual curiosity and is constantly looking to learn new skills
Work with business partners to help identify, analyze and resolve any issues
Be a change agent, ensuring users embrace new and innovative technology
Requirements:
MS or Ph.D. degree in a quantitative field; Economics, Statistics, Mathematics, Physics, Operational Research, etc. 
Strong quantitative and analytical problem-solving skills and experience working with large datasets
Knowledge and understanding of econometric and statistical techniques
Must be an intellectually curious self-starter and motivated to continually learn, interested in real estate finance
Proactive, hardworking team player with strong communication skills and business intuitions
 Pluses:
Knowledge in fixed income, real estate or risk analytics
Hands-on experience with SQL & Python
Experience with BI tools such as Tableau

Our full-time employee benefits include:

A competitive compensation package, annual bonus, 401k match
Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day
Employer-paid benefits (medical, dental, vision, health savings account)
Professional career development and reimbursement
Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave
Backup childcare offered through Bright Horizons
Relaxed casual environment with virtual office events


​Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.
Sr Data Scientist Bets Analytics at Reddit

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are excited to bring a Data Scientist on board to work with Reddit Team X leading the new initiative discovery efforts. Reddit Team X iterates on new features that build the next generation of Reddit Community that is Synchronous, Self-sustaining, and Extensible. 
As the Senior Data Scientist embedded on the team, you’ll be the expert in ensuring we understand how users consume and engage with new features across different discovery surfaces. You will help us make the right product decisions based on experimentation and analyses that use the world’s coolest dataset. You will partner closely with other data scientists, engineers, PMs, and designers, and your work will accelerate new feature adoption and promote user engagement and retention.
What You’ll Do:

Partner cross-functionally with Eng and Product leads to help define and implement the team's roadmaps and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Design and evaluate A/B tests for product feature experiments to understand the effectiveness of product strategy
Generate data-driven insights that propose next steps in strategic roadmaps

Who You Might Be:

4+ years of experience in Data Science or Analytics function in a tech consumer company 
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Have worked with teams leveraging Machine Learning for ranking or similar features
Ability to tackle ambiguous and undefined problems. 
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Principal Data Scientist New Product Development at Mission Lane

About the role:
We’re looking for an experienced data science practitioner to join our New Product Development team and build the next generation of products to help Mission Lane customers improve their financial health.
We’re looking for someone who can:

Be a hands-on technical leader excited to incubate new data-driven products and, ideally, a career trajectory towards a management role.
Put data science at the heart of our new product development.
Work independently and with support from other data scientists on our team.
Make sure we’re collecting the right data at the right time. This includes both capturing internal events, but also evaluating and integrating external data sources.
Ensure that data is properly processed and flows to the expected places in our data warehouse.
Lead hypothesis-driven exploration of Mission Lane’s most complex data to generate new insights, test hypotheses, and leverage data to consult and advise on NPD strategy and new product investments.
Conduct unguided exploration of greenfield data sources.
Build out the first generation of machine learning models for a wide variety of new product applications:  credit risk, marketing, search optimization, recommendation engines, etc.
Use or create rule-based decision infrastructure for new products.
Advise business partners on test design, credit underwriting, and customer targeting.

Successful applicants will:

Be comfortable in the Python ecosystem (numpy, pandas, scikit-learn, etc.).
Have experience conducting software development and model development with relational databases including strong SQL skills.
May have familiarity with or be excited to work with tools related to MLOps like Spark, dbt, and kubernetes.
Principal Data Scientist at Mission Lane

Mission Lane’s Data Science Team is looking for a Principal Data Scientist to join us.
You’ll be a successful Principal Data Scientist if:

You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, knowledgeable, data scientists with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates

We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Senior Data Scientist at Mission Lane

Mission Lane’s Data Science Team is looking for a Senior Data Scientist to join us.
You’ll be a successful Senior Data Scientist if:

You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, educated, people with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates

We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Job Location: Richmond, Virginia or Remote
Senior Data Scientist at Built In

We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.
Senior Data Scientist at Angi

The Team and Role 
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools.
As a Senior Data Scientist, you will be responsible for:

Creating mathematical and data driven solutions for difficult problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Becoming the domain expert for one business segment in the Angi organization
Communicating project results and insights with stakeholders across Angi

Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in:

Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Deep knowledge of machine learning and data mining algorithms
Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS

Compensation & Benefits: 

The salary band for this position ranges commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package. 
Full medical, dental, vision package to fit your needs 
Flexible vacation policy; work hard and take time when you need it 
Pet discount plans & retirement plan with company match (401K) 
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote
Sr Data Scientist at Vimeo

Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. The Business Intelligence (BI) team is dedicated to create efficient cross-functional processes and enable data-driven decisions across product, sales, finance, marketing, support and customer success. Vimeo is seeking an experienced Leader for our Client Strategy & Insights team. You will partner closely with our Enterprise clients and Account Management team to develop and manage client-specific reporting and insights. In this role, you will be responsible for understanding our client’s unique data needs and interpreting those in the context of our internal reporting systems and databases. This role is ideal for a data expert and self starter with experience in the disparate worlds of both working with clients and analyzing data. 
What you’ll do:

Become a Vimeo data expert, working directly with clients or account managers to manage their reporting needs
Build and maintain reports and dashboards using SQL and our BI tools, specifically Looker, to be delivered to clients, providing more depth and transparency
Create and build Dashboards and Model to help expose key business trends
Partner with key business stakeholders to forecast input metrics across the business that ultimately drive booking.
Work with the Product, Engineering, and BI teams to ensure integrity and consistency in our data offering

Skills and knowledge you should possess:

7+ years experience understanding, packaging, and communicating data for clients in a clear and concise manner
Proficiency in general database knowledge and tools, with specific background in SQL
Experience working with developer tools including third party APIs
Accustomed to driving results in a collaborative, fast-paced environment
Attention to detail and organization, with the ability to prioritize effectively and toggle between long-term goals and short-term tasks
Experience working with clients, and working with analytics and engineering teams

Bonus points (nice skills to have, but not needed): 

Experiencing writing code to integrate third party APIs into our analytics products, specifically Looker
Python skills would be lovely
Experience with SaaS business metrics, video technology, specifically in OTT or live streaming, is a massive plus
Nice to have: Working knowledge of Redshift and Snowflake data warehouses
Product Data Scientist at Rec Room

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Product Data Scientist at Rec Room, you will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform the kinds of features and products we build. You'll be equal parts investigator and storyteller, shaping experiences towards delighting players and building a sustainable business. 
As we scale, our Product Data Scientists will embed within individual teams, allowing you to develop deep context and empower you to provide strategic value. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:

Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Develop and validate hypotheses to further our understanding of user needs.
Propose changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.

WE ARE LOOKING FOR INDIVIDUALS WITH: 

A Bachelor’s or Masters in Math, CS, or related field
3+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights

COMPANY INFO TO KNOW: 
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life. 
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.
Director Data Science Global Non Price Predictive Modeling Western European Market at Liberty Mutual

GRM Actuarial – Global Non-Price Predictive Modeling (NPPM) is searching for a highly motivated Director II, Data Science who is eager to make an impact on the very complex and evolving global insurance industry. As the manager of the Western European Market (WEM) NPPM team, you will provide analytical direction for a team of data scientists across Spain, Portugal and Ireland. You and your team will develop, integrate and champion the use of predictive models and analytical tools to enable data-driven decision making and help Western European Market achieve their profitability and growth goals. This role requires broad knowledge of predictive modeling techniques, and advanced application of those techniques to a variety of business issues. This is a highly visible role that will connect often with WEM leadership, senior management and other groups across Liberty Mutual. You will provide analytical assessments of business issues and recommendations to management and a mixture of technical and non-technical audiences so good communication skills are essential.
Responsibilities:
Inspire, manage, coach and develop a team of up to nine data scientists located in Spain, Portugal and  Ireland.
Collaborate with business partners in WEM to develop and adapt statistical approaches, models and tools to meet market conditions, drive strategic decision making, and address problems facing the operations.
Understand the competitive marketplace, business issues, and data challenges in WEM to deliver actionable insights, recommendations and improve business processes.
Supervise, develop, implement and monitor a variety of modeling solutions to complex problems that drive change across WEM.
Present findings, share insights, and make recommendations to WEM Leadership that impact profitability, growth and/or customer satisfaction.  
Effectively communicate results, insights and recommendations in written, oral and presentation formats to technical and non-technical audiences.
Live our Values, create a culture of innovation and collaboration, and proactively seek out all forms of diversity.
Regularly engage with LM data science community and cross-functional working groups.
Expected global travel: 10-20%
Job Specifications:
Reference:  2022-48105
Category: Analytics
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA; 
Schedule: Full-Time
Salary: USD-$172,900.00-–-$227,500.00-/-Year
Education Level: 
 Travel: 25%
Director Of Data Science Telematics at Root

The position.
We believe a large part of building an effective insurance company can be solved with a principled quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is hiring for a Director of Data Science to lead and develop a team of data scientists and data analysts focused on telematics and customer experience. Leading this team, you will manage research to expand Root’s telematics data and UBI models. Further, you will interface with our pricing and underwriting functions to create more effective integrations. You will opportunistically seek ways to use Root’s prevalent telematics connectivity in service of a satisfying policyholder experience, e.g., expeditious claims handling, test drive UX, etc.
The ideal candidate will have the ability to identify & measure new opportunities through rigorous analysis, build frameworks & processes to ensure high quality & valuable data science work products, work with cross-functional stakeholders to gain alignment & ensure a path to deployment, and support the growth & development of their team. You’ll also be willing to roll up your sleeves and work alongside the team to build and test proposed solutions.
What you’ll achieve.
Lead and develop a team of data scientists
Provide technical and thought leadership related to telematics and UX
Identify and prioritize high-ROI work and ensuring a practical path to deployment
Apply data storytelling, statistical modeling, and machine learning to solve problems in pricing, underwriting, claims, and customer experience
Influence culture and conventions across the data science organization
Work cross-functionally with Data Science, Product, and Business Development to determine long-term, strategic investments needed for future company success
What we’re looking for.
Experience with telematics as an individual contributor and as a team leader
5+ years experience working in data science with demonstrable experience in predictive modeling, exploratory data analysis, probabilistic modeling, and productionizing solutions
2+ years experience managing a multi-contributor team
3+ years experience working in insurance with a keen awareness of insurance fundamentals
Strong communication and relationship building skills
A deep foundational understanding of statistical modeling and machine learning
Strong programming skills with experience using modern packages in Python
Some economics background is strongly preferred
Data Scientist I Pricing R D at Root

The position.We believe a large part of building an effective insurance company can be solved with a systematic, quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. We're looking for a Data Scientist to help build and evaluate our pricing models to enhance our risk segmentation. Working alongside a combination of actuaries and data scientists, you'll leverage modern statistical techniques to build on our pricing capabilities and more accurately segment our customers. You'll also establish KPIs to explain model performance, communicating findings and trends to key stakeholders across the business.Root is a “work where it works best” company. Meaning we will support you in working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus and offices in other locations to give more flexibility and more choice about how we live and work.What you'll achieve.
Build and evaluate pricing models and risk segmentation plans
Enhance evaluation pipelines to translate model results into KPIs
Leverage internal and external data sources to engineer novel features to enhance risk segmentation
Build data processing pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
What we're looking for.
Advanced degree in a quantitative discipline and/or 3+ years of applying advanced quantitative techniques to problems in industry, actuarial pricing experience preferred
Strong demonstrable knowledge of topics such as inferential statistics, machine learning, and numerical optimization
Exceptional communicator and storyteller
Strong programming skills with experience using modern packages in R and Python
Demonstrated experience building, validating, and applying statistical machine learning methods to real-world problems
Principal Data Scientist at Citizens Bank

Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, data infrastructure development, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, graduate degree preferred
Sr Data Scientist at Citizens Bank

Description
The quantitative analyst will lead the design, testing, approval and implementation of the model monitoring for all credit risk models.  The analytics work will provide credible management direction to support business decisions and assist their understanding of the model risk, while ensuring full compliance with regulatory and internal policy requirements.  Consult with business line and other model stakeholders to understand their analytics needs; consult with IT and data teams to determine data source, and work with colleagues to ensure consistency of our approach with established standards.
Lead efforts of model monitoring process through various approval committees (business approval committee, model risk committee, capital planning committee).  Drive agreement on model validation and monitoring approach and communicate quantitative methods and results to various stakeholders (model development, business units, model governance and approving committees, regulators). Lead best practice modeling techniques, ensure comprehensive documentation, and maintain best of class model monitoring and outcome analysis. Coordinate the development, maintenance and enhancement of econometric expertise, stress testing for CCAR and CECL.  Identify and assess the differing risk factors/credit attributes in support of the business and model users. Provide timely remediation of data issues through effective root cause analysis.
Qualifications
 5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial background 3+ years relevant experienceAdvanced knowledge of SAS programming or other mainstream languages (i.e. SQL/ R/ Python), SAS certification a plusAbility to navigate multiple data warehouse platforms and different data environments Understanding of Credit Risk Parameter Models PD/EAD/LGD and concepts of regulatory requirements for stress testing and allowance. Statistical model development and/or validation experience preferredStrong analytical and program solving skills are required to interpret data and draw conclusionsExcellent written and verbal communications skills
Education:
Undergraduate and 5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial backgroundGraduate Degree and 3+ years relevant experience
Hours and Work Schedule - 3 days in the office, 2 remote
Hours per Week: 40Work Schedule: Monday-Friday
#LI-Remote
Principal Data Scientist Marketing Analytics at Citizens Bank

Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, PhD preferred
Hours and Work ScheduleHours per Week: 40
Work Schedule: Monday - Friday
#LI-Sourcer3
Senior Data Scientist at Flightaware

Description
FlightAware has built the world’s leading aviation software platform, processing over 180 million incoming messages an hour from over 30,000 feeds—over 150 gigabytes a day and growing—to provide the best, most complete, and most accurate real-time flight tracking services in the industry. We are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.
Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.
FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.
As a Data Scientist on our Predict crew, you will play a critical role in building our Machine Learning-based Foresight products, but performing A/B testing of ML models, evaluating our existing models and providing insight into their performance. Through your work, you’ll be improving the operational efficiency of the world’s largest airlines and airports.
This is a full-time role. Our team is headquartered in Houston, Texas, but we work as a distributed team and accept remote applicants.
Requirements
At least six years Data Science/Statistical Science experience (including education)Strong knowledge of Python and/or R.
Experience in multiple of the following areas:
A/B testing, experimental design, causal inference, functional data analysis, etc.General practical knowledge of statistics, data science, classic machine learning, and deep learning.Preferred: Experience with Kubernetes, Spark, and AWS.Nice to have: You are a private pilot or are you looking to pursue your private pilot license.
Responsibilities
Design a framework to A/B test our Machine Learning models.Explore the performance of ML models to provide guidance on where we can improve.Design QC procedures for training and evaluation data and explore outliers in complex data.Participate in our internal research projects, pushing the envelope of what’s possible in the aviation ML space.Develop your general software engineering skills in an environment that encourages constant learning and innovation.
Work Location
Remote (work from home)Applicants must live in the United StatesMust have current work authorization for any employer in the US and not require sponsorship now or in the future
Education
A master’s, or doctoral degree in statistics, mathematics, computer science, software engineering, or equivalent experience.
Compensation
Salary varies based on experience and backgroundMatching 401(k)Company-paid employee medical, dental and basic life/AD&D insurance
Senior Data Scientist at Home

Overview
We seek a seasoned researcher at the crossroads of medicine, physiology, data science and sensors, with experience in machine learning and artificial intelligence. With physIQ, you will work with large, rare troves of millions of hours of warehoused sensor data with clinical context, an advanced library of physiology feature algorithms, and a state-of-the-art platform for collecting new data in studies you may design. In this role, you will work with raw sensor waveforms and derived vital sign features from patients and human subjects using continuous wearable sensors in unconstrained activities of daily living, to develop and validate emergent analytics characterizing physiological health and behavior. This will rely heavily on the latest techniques in machine learning and artificial intelligence, including deep neural net and similar architectures. Our high-level objective is to harvest as much clinically useful information as is possible about patients using continuous wearable sensors, to achieve highly accurate algorithms using cutting edge data science techniques that pass muster with medical regulatory agencies. Strong validation practices are requisite.
A successful candidate will be capable of working independently to solve the algorithmic needs of the company without hand-holding, while also being a good collaborator with other members of the Research team and colleagues in the company.
A successful candidate will have strong organized coding skills.
A successful candidate will have strong written communication skills and good experimental documentation practices.
Responsibilities
Design, develop and validate analytical algorithms
Curate source data and investigate clinical cases
Write design and validation documentation under quality systems practices
Prepare publications and related market-facing validation collateral
Troubleshooting of production-released algorithms
Mentor junior staff and communicate concepts to non-research colleagues
Design and analyze clinical trials
Requisite Skills
4-year undergraduate technical degree (science, engineering)
4 years of post-undergrad experience with machine learning or AI
2 years of post-undergrad experience with wearable sensor data
Expert coding skills in one of Python, MATLAB or arguably similar ML/AI dev environment
Proven record of working independently to deliver results
Demonstrable knowledge of human physiology or medical data science applications
Nice to Haves
Master’s degree or PhD in scientific or technical area
Advanced knowledge of human physiology
Expertise in wearable sensors
Experience using git / gitlab
Experience using advanced features of Google Cloud Platform or Amazon Web Services
Expertise in signal processing
Expertise in statistics
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Lead Data Scientist Supply Chain Us at General Mills

OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, optimization and information retrieval to design, prototype and build a next generation supply chain engine and services. You will serve as the technical leader for an enterprise level supply chain data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
RESPONSIBILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Mentor and coach junior data scientist on key technical and domain topics.Act as a thought leader in supply chain data science techniques and represent the Digital and Technology organization.Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in computer science, operations research, engineering or related quantitative field or commensurate work experience in supply chain technology or data science.5+ years of professional experience developing and deploying machine learning algorithms in a production environment.Proficient in one or more coding languages including PythonExperience with graph database technology preferredExpertise with leading the development of large-scale optimization, simulation, and network-based models.Highly adaptable, curious, and willing to work independently on complex and challenging problems.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States, Canada or the UK will be considered.Relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
Sr Data Scientist at General Mills

Overview
Blue Buffalo is seeking a Data Scientist to be a critical member of Consumer & Market Intelligence Business Analytics team. As the Data Scientist at Blue Buffalo, you will be responsible for bringing tools and capabilities to Blue Buffalo to help achieve business objectives through analysis and modeling.  You will manage a strategic partnership with central CMI and lead the delivery of category forecasting and demand spaces for Pet and lead application of the learning with Blue business teams.  You will be the connector of 1st, 2nd, and 3rd party data sets for analytic use across Blue Buffalo. As the Data Scientist, you will lead analytics using multiple data sets that will drive the acquisition of new pet parents and growth for Blue Buffalo.
 Key accountabilities
Develop innovative tools and capabilities that help business partners achieve objectives throughanalysis and modellingCurate and connect data sets for broad analytic usageOwn the identification of emerging trends that could create risk or growth opportunities for BlueLead advanced analytics research using 1st party data to understand strategies for gaining new pet parentsManage strategic partnership with central CMI and lead the delivery of category forecasting and Demand Spaces for PetLead Blue’s D&T pod to ensure data sources are connected and Blue CMI is meeting the needs of Blue Buffalo’s business teamLead advanced analytics of Blue Buffalo’s brand equity data Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other
MINIMUM QUALIFICATIONS 
Bachelor's Degree in Market Research, Statistics, Mathematics, Business Analytics, Data Science, or related field3-5+ years of experience transforming data from multiple sources and conducting business analyticsExperience and comfort with statistical analysis, modeling, clustering and data mining techniques to identify trends and insightMastery with modelling tools (i.e., R, python, SPSS, etc.)Expert knowledge of syndicated data (e.g., POS, ecommerce data sources, household panel)Ability to synthesize multiple data sources to build and tell a fact-based story with credibilityExcellent collaboration and organizational navigation skills and agility to work on multiple projects with multiple stakeholders. Proactive problem solver that has strong business acumenAbility to communicate, collaborate and build relationships virtually
  PREFERRED QUALIFICATIONS
Master’s Degree in Business Administration, Consumer Behavior, Data Science or related field.7+ years of experience in business analytics working with a NAR Segment OUExpertise in a variety of traditional and modern qualitative and quantitative research techniquesProven ability to work in an agile environmentExpertise within advanced analytics and development of statistical models