Director Data Scientist

Purpose of Job
About USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA is looking for an experienced Director of Data Science to help drive the future of our Predictive Analytics & Optimization team. In this role, you'll manage the build and implementation of impactful and scalable solutions to solve a variety of product, pricing and underwriting problems across our P&C Personal Lines organization. You will help architect, design and build algorithms using big data and highly scalable data science technologies to drive business value. You’ll be working alongside our Pricing Activation and Modernization, Strategy and Data Enablement teams from ideation to deployment, rapidly researching and testing new, innovative approaches to loss cost modeling, member segmentation/experience and other big data problems. The ideal candidate will be able to jump in and work alongside their team to build and test proposed solutions in personal lines auto, property and customer domains all while providing thought leadership and continuous improvement of our predictive performance of our loss cost platforms.
This Director will work in a Hybrid Work Environment preferably from our San Antonio, TX office location.  We may consider this leader to work in a Hybrid Work Environment from another USAA office location to include Tampa, FL, Chesapeake, VA, Phoenix, AZ, or Colorado Springs, CO.  However, a Remote (Work@Home) opportunity may also be considered.  USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home. The actual onsite days are settled between each employee and the employee’s leader. Candidates working in the Hybrid Work Environment are expected to live a commutable distance from the selected USAA office location.
Leads a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications. Applies technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans. Partners with IT and other areas to build major improvements to analytical processes and systems. Advises Senior Leadership on the development of data science solutions and long-term goals and or strategies. Maintains relationships with academic and industry leaders with vision to ensure the enterprise has access to ground breaking thinking and technologies.
Job Requirements
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.Oversees and carries out the exploration of promising new technologies, analytical methods and data sources (internal to USAA & external) that have potential to contribute to the enterprise.Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.Understands the business direction, and environment and strategies to identify and recommend solutions that influence decision makers and inspire change.Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science.
Minimum Qualifications:
Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years of experience in predictive modeling, large data analysis and computer science.3 years of direct management experience.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Deep technical skills, consulting experience, and business savvy to work with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Qualifications:
Experience in experimental designAdvanced knowledge of statistical methods, mathematics, and AI/ML algorithms including traditional general linear model (GLM) family models (including linear and logistic), tree-based methods (random forest, gradient boosted models), deep learning methods (neural networks, etc.), and general optimization methods (e.g., gradient descent, etc.).Knowledge in model performance evaluation techniques, metrics and validations strategies (nested-cross-validation, etc.).Expert in data visualization using Python/R and TableauExpert in communicating concepts, proposals, ideas and results to key decision makers
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $155,400 – 279,800*.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is available for this position.


Data Scientist Mid Level

Purpose of Job
We are seeking a hardworking and dedicated Data Scientist-Mid Level to work remotely.
Uses sophisticated techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions maximizing internal and external applications to deliver value and build competitive advantage. Translates sophisticated analytical and technical concepts to non-technical employees.
Job Requirements
Tasks:
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are successfully identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with analysts across the organization to fully define business problems and research questions; Supports SMEs on cross matrixed teams to take on highly sophisticated work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts sophisticated analytics using predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates sophisticated analytical and technical concepts to non-technical employees to enable understanding and drive advised business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and proven application of knowledge, skills, and abilities towards work products.Proficient level of business insight in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Relevant banking domain knowledge particularly in areas such as AML, Fraud, Consumer Disputes, or Central Operations.Strong Python, SQL skills.Project experience with Graph Databases such as Neo4j, AWS Neptune or similar.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Proven ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200-$158,900.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is not available for this position.
#FSB


Decision Science Analyst Mid Level Marketing

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
This role is available as remote or can be located at our San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; or Tampa, FL offices.
The candidate selected for this position will work on the Bank Marketing Analytics Team in USAA’s Strategy, Digital, and Brand organization. They will work with emerging analytical tools and have the opportunity to build new measurement frameworks while working directly with partners across USAA.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Ability to work on multiple projects in a fast-paced environment with limited supervision.Strong relationship management and negotiation skills; ability to influence senior leadership and drive business results.Experience implementing emerging technology and techniques for analytical purposes.Testing experience – designing, leading, executing, and analyzing results.Prior marketing analytical experience; knowledge of marketing analytical process and measurement framework.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $72,900 - $131,400* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Data Scientist

Keeper is hiring a talented Data Science engineer to join the Keeper Business Intelligence team. 100% remote position!Keeper’s applications are trusted by millions of users around the world and thousands of Enterprise customers.  Join one of the fastest-growing Cybersecurity companies and gain valuable skills working as a Data Scientist to drive growth.About KeeperKeeper Security, Inc., ("Keeper®"), the creator of the leading cybersecurity software, is transforming the way organizations and individuals protect their passwords, secrets and sensitive digital assets to prevent data breaches and cyberthreats. As a leading cybersecurity defense platform, Keeper helps millions of people and thousands of businesses substantially mitigate the risk of a data breach. Keeper is SOC 2 Certified, ISO 27001 Certified and utilizes best-in-class encryption to safeguard its customers.  Keeper Security is backed by Insight Partners, a leading venture capital and private equity firm with $90b AUM. Insight Partners invests in high-growth technology companies that drive transformative change in their industries. Keeper's products are the highest-rated in the industry across G2, Trustpilot, PCMag and U.S. News & World Report.About the Job:Join an elite team of highly skilled members and play a key role in designing, building and executing data models, dynamic scorecards, dashboards, data studies and cohort analyses. The models and intelligent KPI reports that you create will be used to evaluate and optimize current and new business strategies, product mix, marketing strategies - all which are aimed at growing our business.  You’ll also work with senior leadership to develop key performance indicators (KPI's) to ensure that our products are performing optimally.You’re right for this job if you:  Have a passion for data as well as the research, testing, and optimization that comes with it. Enjoy developing meaningful metrics, dashboards, and reports for end-users and leadership. Establish and carry out data quality checks to ensure all deliverables are timely and accurate. Have a solid understanding of finance, economics and business concepts.  At least 3 years working in a data science or analytics role. Strong knowledge of SaaS metrics and KPIs. Extensive Tableau experience. Extensive database experience working with SQL / MySQL. Data lake/data warehouse experience A proven ability to learn and dissect processes and business concepts.  Exceptional written and oral communication skills. A positive mindset, team-oriented, results driven, and organized.  Preferred Requirements: Master's degree or PhD in Computer Science, Data Science or equivalent discipline. Have experience working in a fast paced, high growth environment and the desire to build a company’s capabilities in statistical analysis. Experience with Salesforce bi-directional interface in building dynamic, rich content for Salesforce  Medical, Dental & Vision (Inclusive of domestic partnerships) Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life Voluntary Short/Long Term Disability Insurance 401k (Roth/Traditional) A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) Above market annual bonuses  Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.Classification: Exempt


Senior Data Scientist

Pinwheel - Building a fairer financial system by unlocking API access to payroll systems.
More than half of Americans have a poor credit score or no score at all. Since most financial institutions rely on traditional credit scoring to assess risk, that means these people can't access affordable financial products. Instead, they resort to high-interest credit cards, payday loans, and trigger overdraft fees to make ends meet — which push them into deeper cycles of debt.
Pinwheel provides an API platform that makes it easy to connect payroll accounts like ADP and Gusto to any app. By unlocking the wealth of identity, income and employment data that sits in these systems, alongside direct access to paychecks, we can help build the next generation of financial products that increase access for the underserved while improving the businesses of our partner fintechs, banks, and lenders.
Who are we looking for?
As our first Senior Data Scientist, you will play a key factor in driving Pinwheel’s next stage of growth. More concretely, you will be responsible for:

Unlocking the next line of revenue generating products for Pinwheel.
Building data science frameworks for solving complex business problems and driving improvement to key business metrics.
Spearheading the efforts to collect new data and enrich existing data.
Mentoring other team members to level up the data and analytics function.
Cultivating strong partnerships with executive, product, and engineering stakeholders in launching industry-defining products using income and employment data.

What qualifications are necessary?

7+ years of experience as a data scientist.
Ability to code independently using data technologies - SQL, Python, Jupyter Notebooks, and latest Data / ML libraries.
Expertise in data science and ML techniques along with their mathematical models, such as regression, classification and clustering.
Strong product orientation coupled with relentless curiosity.
Ability to thrive in an agile, rapidly changing, and collaborative environment.
Excellent communication skills and ability to influence cross-functional partners.

Preferred Skills:

Master’s degree or above in Statistics, Mathematics, Computer Science or related disciplines.
Prior experience working with user data and/or direct to consumer tech.
Experience working in an AWS environment.
Prior data engineering experience.

Why join Pinwheel?
Best Time to Join - We are small but well-funded, meaning you get the upside of starting on the bottom floor with minimal risk.
Be a Cultural Founder - You will have an active hand in molding our culture and being a part of the growth journey.
Build Something Revolutionary - Help build the consumer data infrastructure of the future.
Benefits included:

Great compensation & equity packages
Full medical, dental, and vision benefits
Life & short-term disability insurance
Unlimited vacation
Paid parental leave
401K for retirement planning
Mentorship opportunities
Free Citibike membership
Pet friendly offices and Zoom spaces

Diversity & Inclusion at Pinwheel
At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.
As part of our commitment to health and safety, Pinwheel requires employees to be fully vaccinated against COVID-19 as permitted under applicable law.


Senior Data Scientist Data Science Products Bankrate

What You'll Do
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We're Looking For
4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:

text and video content generation - using natural language processing and generation, deep learning, computer vision and explainable supervised learning.
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
marketplace optimization - using forecasting, multi-level modeling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.

Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
#li-cm1


Senior Data Scientist Member Services

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced analytics professional to support the product team responsible for building solutions to deliver effortless, human support to buyers and sellers. Your team’s work ensures Etsy provides world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Member Services area you will work to deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Are you passionate about using sophisticated behavioral analysis to drive product development and strategy in customer support? If so, this could be a great match.
This is a full-time position reporting to the Manager, Member Service Analytics. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our support product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of our support products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years of proven success as a data analyst focused on supporting product teams with data access, reporting, and insights.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.High proficiency with advanced analytical techniques and SQL.Ability to communicate insights to senior executives verbally, visually, and in writing.A trust in and commitment to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Senior Data Scientist Growth Analytics

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 3000 businesses are spending an average of 3.3% less and closing their books 8 times faster, thanks to Ramp’s finance automation platform that enables billions of dollars of purchases each year.
Founded in 2019, Ramp has seen nearly 10x year-over-year growth which has led to a valuation of $8.1 billion in just over 3 years. Its investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The team is made up of talented leaders from some of the leading financial services and fintech companies—Capital One, Stripe, Affirm, Goldman Sachs, American Express, Visa—as well as high-growth technology companies like Facebook, Spotify, Zendesk, Uber, Dropbox, and Instacart. Recently named Fast Company’s most innovative finance company, Ramp is NYC’s fastest-growing startup and America’s fastest-growing corporate card.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do

Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
OneMedical annual membership

401k (including employer match)
Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support


Sr Data Scientist Bets Analytics

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


Lead Applied Data Scientist

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment

Preferred Qualifications

Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Senior Data Scientist

Paramount Global (NASDAQ: PARA, PARAA) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.
About the Content Optimization Team
We are looking for a Senior Data Scientist to join the newly crafted Content Optimization team. Our mission is to use modern data science to inform decision-making relating to content windowing and investment across ViacomCBS businesses. In this role, you will join a group of top-notch data scientists and data engineers who build predictive models that support highly critical multi-million dollar content-related decisions. This will be achieved in collaboration with our other data science and research groups across ViacomCBS.
The role reports to the SVP of Content Data Science. This represents a uniquely exciting opportunity for a data scientist to deliver impact at a leading premium global content company, in an exciting and rapidly-evolving industry.
We are seeking individuals with deep technical skills who seek to be the smartest in the room and are not afraid of being surrounded by smarter ones, individuals who are results-oriented enough to work on multi-year projects that have the potential to build significant value across all parts of our business.
About you. You must be:

Feel very comfortable asking a lot of questions

Comfortable with Kanban and Scrum as well as no structure at all because you understand that one model does not fit all

Apt at being at time a leader and at other time a follower, possibly with the same people regardless of ranks and seniority, depending on how you contribute to a project

Enjoy written communication because it gives you a medium to express highly complex and nuanced ideas

Overview & responsibilities:
Preference is to be based in Atlanta, GA but may work remotely within the US

The data scientist uses advanced statistical and scientific methods to deliver insightful analysis that helps to inform critical business problems relating to content valuation

This role reports to the Senior Vice President for Content Data Science

This is a role responsible and accountable for:

Building models (e.g. acquisition, retention, viewing behavior on streaming platforms)

Servicing multiple ad hoc requests in a timely manner

Ensuring regularity and standardization in data, metrics, and analysis

Basic qualifications:

4+ years of commercial experience in a data scientist role, capable of writing production grade code

Knowledge of current ML, AI techniques, both in terms of implementation and theory

MLOps experience (MLFlow, Kubeflow, Seldon)

Excellent Python (including Pandas and NumPy), familiarity with TensorFlow

Excellent knowledge of OOP, functional programming, and familiarity with large code

Experience with Sagemaker

Knowledge of distributed frameworks (PySpark, Ray, Modin for instance)

Familiarity with SQL dialects

Familiarity with AWS environment and deployment

Experience with large volume of data (100 tb) as well as with tiny ones (n=50)

Experience with microservices architecture

Master degree (PhD preferred) in Data Science, Computer Science, Statistics, Math, Physics, Astronomy, Economics or equivalent

Desired additional qualifications:

Scientific or technical publications

Experience with Random Forest and Boosting

Comfortable questioning and challenging assumptions, processes to improve outcomes

Versatile (capable of using anything from rank statistics to shape theory to topological data analysis to the most obscure time series model)

#LI-AW3
#LI-Remote
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned.


Associate Director R D Data Science Portfolio Management Jrd Ds

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for an Associate Director, R&D Data Science Portfolio Management! In this role, you will partner with compound development teams to define and prioritize a portfolio of high impact use cases in alignment with the Immunology TA strategy and the overall JRD Data Science strategy. Use cases include using AI/ML and computer vision to model existing and novel endpoints, deliver digital health endpoints, generate real-world evidence, deliver Data Science methods for go/no-go decision-making, and many more! You will report to the Director, R&D Data Science Strategic Initiatives. The primary location for this position is Titusville, NJ; remote will be considered
Who We Are
Janssen develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular and Metabolic disorders, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit www.janssenpharmaceuticalsinc.com.
Responsibilities
Work closely with the broader Data Science (DS) team and Therapeutic Area (TA) to execute on critical data science initiatives to support delivery of the short and long-term Janssen R&D Data Science strategy Collaborate with TAs/functions in Janssen R&D, the DS Insights & Analytics team, and DS Data Platform teams to conceive, develop, and execute on data science use-cases build a roadmap to deliver the user cases, from test and learn to scale up deployment Champion, build and drive large strategic and sophisticated DS projects to achieve the intended strategic impact in a timely manner Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making Develop a deep understanding of the data and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Other ad hoc responsibilities in support of the DS team’s objectives and overall R&D objectives, as required
Qualifications
Master’s degree or higher in a scientific subject area (e.g., biological sciences, data science, epidemiology, computer science) 4+ years of progressive business experience in the pharmaceutical R&D, clinical development or data science/RWD environment, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the RWD and data science ecosystem Experience delivering on data science projects using AI/ML, computer vision technologies, data mining and/or text mining Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Excellent communication, interpersonal, and written skills Familiarity with the data science, RWD (Real World Data), or digital health space. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims
Preferred
Advanced degree (e.g., PhD, MD, or equivalent) Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for machine learning and artificial intelligence in diagnostic medical imaging Ability to travel 25%, domestic and global
Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Working with Johnson & Johnson can change everything. Including YOU. #JNJDataScience
#jrdds
Primary LocationUnited States-New Jersey-Titusville-1125 Trenton Harbourton RoadOrganizationJanssen Research & Development, LLC (6084)Job FunctionR&DRequisition ID2206021568W


Senior Manager Data Science Digital Data Science Group

Johnson & Johnson is currently recruiting for a Senior Manager Data Science - Digital & Data Science Group located in listed locations. Remote work options may be considered on a case-by-case basis and if approved by the Company.
Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.
With $82.6 billion in 2020 sales, Johnson & Johnson is the world's most comprehensive and broadly- based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 260 Johnson & Johnson operating companies employing over 135,000 people and with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
As the Senior Manager Data Science in the Supply Chain, you will work closely with all segments and functions to create an aligned digital Product and technology strategy which anchors product-led transformation and integrated digital stack for better leverage, reusability, modularity and cost effectiveness
□ Develop a deep understanding of the multi-year must-win Digital Product development, strategy following business priorities of various segments and functions (plan, source, make, deliver, and quality)
□ Design architecture and drive engineering delivery using global delivery models. Lead in test & learn and scaling new technologies with new digital product concept and technology feasibilities.
□ Ensure solutions are compliant and secured by working closely with internal risk management and audit group; Drive right level of documentation required to deploy GXP application
□ Bring ambitious ideas of product development technology to accelerate product development and adaption as well as reduce development and operation costs.
□ Lead development team to implement and enhance NLP platform and its digital products, and deliver wide adoption of a variety of use cases in JJSC and beyond
□ Demonstrate capability of leading team to create topical and industry leading digital product and its use case adaption, develop life cycle documents (SDLC) and compliance validation artifacts as well as create best practices in digital product implementation validation strategy for regulated industry that ensures production quality with cost effectiveness
□ Lead interactions with digital product end user community leaders in all segments and functions (including workshops, leadership meetings, strategy sessions and formal presentations) that help them adapt and use products to realize their priorities and benefits.
□ Work closely with product management team as well as J&J Technology Group to drive digital product development and its technical short-, mid- and long-term road maps following business priorities and demands in the J&J supply chain ecosystem
□ Become an internally and externally recognized NLP expert in supply chain digital transformation
Qualifications
□ Masters or PhD degree in Computer Science, Data Science, Statistics, Applied Mathematics, or any other related quantitative fields from an accredited college or university is required.
□ A minimum of 6+ years of industry experience in building enterprise application with data science capability is highly preferred.
□ Strong experience in leading digital product development by working collaboratively with Product management and relevant stakeholders
□ Hands-on experience of working with NLP is required
□ Proficiency with agile development and driving the full SDLC process is preferred.
□ Proficiency with programming in Python, SQL and one or more of the following: C#/C++, Java, JavaScript, Node.js etc is required.
□ Experience with docker and Kubernetes ecosystem is highly preferred.
□ Experience with ElasticSearch is highly preferred.
□ Experience with big data architecture and modern data stack: Hadoop, Spark, Scala, Hive, Databricks, RedShift, Stream Analytics, and etc. is highly preferred
□ Experience with cloud solution: Azure is preferred. AWS and GCP experience are good to have.
□ Good understanding of Statistical Modeling with Python, R, or SAS is preferred.
□ Good knowledge of deep learning with Python, PyTorch, TensorFlow, Keras, etc. is highly preferred but not required.
□ Experience with data visualization and presentation (Tableau, Qlik, Power BI, etc.) is a plus.
□ Ability to bring razor sharp focus on business value and outcome orientation
□ Experience of working in large matrix organization
□ Ability to multi-task, and ability to prioritize work and deliver the maximum business value
□ Ability to build strong networks across the business and technology group to develop partnership at all levels of the business
□ Excellent communication, interpersonal, and written skills. Highly developed negotiating and influencing skills
□ Ability to bring energy, enthusiasm and drive to create a positive working relationship with the business and the team
□ Up to 10% travel may be required.
For United States:
Remote work options may be considered on a case-by-case basis and if approved by the Company. The anticipated base pay range for this position is $112,000 to $168,500.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/ performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, long-term incentive, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. Additional information can be found through the link below.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, depending on location and subject to local legislation, candidates offered employment may be required to show proof of COVID-19 vaccination or, in certain countries, secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. If you are invited to interview for the position, your recruiter will advise on the vaccine requirement status in your geographic location.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com
Primary LocationUnited States-New Jersey-Bridgewater-430 Route 22Other LocationsEurope/Middle East/Africa-Belgium-Antwerp-Beerse, North America-United States-California-Irvine, Europe/Middle East/Africa-Ireland-Limerick, North America-United States, Europe/Middle East/Africa-Switzerland-ZugOrganizationJohnson & Johnson Services Inc. (6090)Job FunctionR&DRequisition ID2206043785W


Data Scientist

Why Valvoline?
We’ve been in the car business for more than 150 years, starting with the invention of the world’s first motor oil. Today, we’re a global leader in automotive services and lubricants, driven every day by a people-centered focus on innovation and service excellence.
As we often say, it starts with all of our people — and that’s where you come in. We’re looking for humble, hungry, and smart people to help us power the future of mobility. If you’re looking for a collaborative and flexible work environment that invests in your growth and success, you’ve come to the right place.
Careers for the Driven
Valvoline has a rewarding opportunity as a Data Scientist. We wholeheartedly adopt a ‘never idle' mindset. We also know that outstanding service begins and ends with our employees. So, we’re looking for good people to join our team. You bring your skills, talents, and drive. We will give you a great place to work, a competitive salary and benefits, and the resources and support to develop and advance within our global company.
*Valvoline World Headquarters is located in Lexington, KY, but we invite remote candidates to apply as well. Ideally, we would like candidates located in nearby markets (Cincinnati and Louisville) and willing to visit HQs frequently.
How You’ll Make an Impact
The Data Scientist is responsible for working with the business analytics team, marketing, and leadership to better understand consumer behaviors and trends impacting the Retail Services business. The incumbent will provide analytical support for retail pricing and serve as a key contact for marketing initiatives, providing analysis of returns. The Data Scientist will collect, analyze and interpret complex data using the scientific method to identify improvements for business by creating, validating, and implementing analytical solutions. Utilizes quantitative and statistical methods to extract insights from structured and unstructured data. Leverages machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products for business. In the role, you would be responsible for:
Driving continuous improvement in business processes (e.g. marketing attribution, forecasting, customer segmentation, CRM and promotional effectiveness, pricing, etc.) through analytics; developing insightful and condensed visualizations out of complicated analytics and providing actionable recommendations for various business teams.Providing expertise on test designs across VIOC, including testing and oversight of analytics tools (e.g. SAS, R, R-Shiny) used across VIOC Marketing and FP&A.Designing, building, and maintaining custom reporting by working with business unit leaders to understand the intelligence they need to make the best decisions to drive profitability.Providing ad hoc statistical and analytical work as requested.Supporting forecasting, budgeting, and long-term strategic planning efforts with data-driven predictive and cognitive analytics.Other duties and responsibilities as determined by Valvoline from time to time at its sole discretion.
What You’ll Need
Bachelor's degree in statistics or related fieldDirect experience in data and analytics organization or support function and demonstrated ability to develop reporting and analytics in Big Data environments and query building skills via BI tools or SQL programmingExperience working with divergent data types to explore and extrapolate data-driven insights using advanced modeling and testing applied to data acquired from a range of sourcesSolid expertise of strategic and implementation experience across broader Data and Analytics functions such as Master data and data governanceSkilled in Visualization BI tools such as Power BI, SAP Analytics Cloud, Tableau, Qlikview, Business Objects, etc.Ability to work independently and take initiativeMust be able to prioritize and communicate business needs effectivelyExcellent written and verbal communication skills; ability to listen and communicate effectivelyStrong organizational and planning skills in a fast-paced environment, able to meet deadlinesMust be authorized to work in the U.S.
What Will Set You Apart
Master's Degree
Benefits That Drive Themselves
Health insurance plans (medical, dental, vision)HSA and flexible spending accounts401(k)  Incentive opportunity*Life insuranceShort and long-term disability insurancePaid vacation and holidays*Employee Assistance ProgramEmployee discountsTuition reimbursement*Adoption assistance*
COVID-19 Vaccine Mandate:
Valvoline is committed to protecting the health of our current and future team members and our customers. COVID-19 vaccines will be required for certain positions and situations effective January 4, 2022, including new U.S. employees joining our company. For more information, you may speak with a member of our HR team during your recruitment process.
*Terms and conditions apply, and benefits may differ depending on the position.
Females and minorities are encouraged to apply.
Valvoline 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. Are you good at what you do? Join us.
The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided, upon request, to applicants with disabilities in order to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1-800-Valvoline or email 1-800Valvoline@valvoline.com to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.


Principal Data Scientist New Product Development

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

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

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


Director Data Science

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

The Role:
We are seeking a Director to build out and lead our Data Science group. This role reports to our VP of Data and is responsible for insights and data science within Fanatics Betting and Gaming. The leader who fits this role will be experienced at growing data science operations and will have sports industry expertise.

Duties and responsibilities may include:
●        Build out a best in class Data Science group, designed to support the organization's decision-making and develop competitive intellectual property
●        Develop and communicate standards and procedures for the Data Science group
●        Develop processes and forums to share insights to the company. This person embodies a “teaching” mentality and prioritizes relationships and information sharing
●        Build strong relationships with internal stakeholders, including the executive leadership team, engineering, product, marketing, legal, ops and more
●        Provide leadership and expertise within the data org.  Be a mentor and role model
●        Partner with engineering both within Data group and across other engineering domains

What skills are important to us:
●        Experience with growing & leading multiple large analytical teams, and partnering with data engineering to develop strategic data assets
●        Expertise in data science methods and techniques including machine learning, and technical skills including production-grade architecture and model lifecycle management
●        Strong strategic thinking, written and verbal communication, and resource prioritization skills
●        Emphasis on trust-building and ability to quickly make decisions that usually turn out well
●        Desire to build an operation from scratch in a fast-paced environment

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Manager Data Science

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

The Role:
We are seeking a Manager to hire and lead a Data Science team. This role reports to our VP of Data (for now) and is responsible for developing insights and strategic data assets in the domain of pricing, odds, and trading. The leader who fits this role will be experienced at managing data science teams, and is excited about the sports betting & gaming space.

Duties and responsibilities may include:
●      Build a best-in-class data science team to focus on pricing, odds and trading
●      Share insights among the data group and across the company. This person embodies a “teaching” mentality and prioritizes relationships and information sharing
●      Build strong relationships with internal stakeholders, including engineering, product, marketing, legal, trading and more
●      Be a skilled, experienced data scientist capable of hands-on work when needed, and coaching more junior team members

What skills are important to us:
●      Experience managing at least one data science team, and collaborating with data engineering, analytics, and other disciplines
●      Expertise in data science and machine learning applications and techniques
●      Strong strategic thinking, written and verbal communication, and resource prioritization skills
●      Emphasis on trust-building and ability to quickly make decisions that usually turn out well
●      Desire to build a team from scratch in a fast-paced environment

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Data Scientist Or Software Engineer Skunkworks

StreetLight pioneered the use of Big Data analytics to help transportation professionals and data analysts measure, analyze and improve transportation. Applying proprietary machine-learning algorithms to location data from mobile phones, vehicle navigation devices and IoT, StreetLight sheds light on travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, StreetLight InSight®. From measuring traffic volumes to optimizing new infrastructure to planning for autonomous vehicles, StreetLight powers more than 10,000 projects every month. StreetLight was recently acquired by Jacobs but continues to operate as an independent software organization.

StreetLight recently launched a special team that does early-stage product and data science research and development, focusing on emerging or advanced topics. This small team reports directly to the CEO, and will help push StreetLight and transportation data and industry to the next generation of tools, use cases, and smart policy-making for transport systems.

We are looking for a creative, collaborative, and self-driven data scientist or software engineer to help power this work. This particular role will focus on developing predictive models to understand present and future transportation dynamics. The right candidate will be able to infer patterns from telemetry/movement data and combine it with additional information about land use, transportation networks, population distribution in order to develop predictive applications.

A variety of backgrounds may be suitable for this role. Perhaps you’re a transportation researcher with experience developing activity-based models. Or a software engineer who’s worked with telemetry/movement data and routing engines based on OpenStreetMap. Or a data scientist who’s skilled at working with land use, population, or graph data. Or something entirely different, with the abilities and knowledge to move us forward. If you think you may be a fit, we encourage you to apply.

Location: We are flexible on the location of this position. It could be in any one of our three main offices (San Francisco, CA, Richmond, VA, or Vancouver, BC), or remote within the US or Canada.

Responsibilities

Design algorithms to infer transportation patterns from various data sources
Research and implement suitable strategies and models for solving data science problems
Find and build real-world data sets for developing/training various models and doing quality checks
Create visualizations and/or dashboards to help tell stories with data
Define and implement customized and/or cutting-edge solutions for customers

Qualifications

BS/MS in Computer Science, Mathematics, Economics, or another field with a focus on quantitative research and discovering insights from data
3 - 5 years of experience in data science, software engineering, or statistics, with experience using tools such as R or Python
Proficiency in SQL and relational databases
Strong understanding of techniques in data science and/or transportation modeling
Specialized skills in relevant areas are a plus. This could be: machine learning, graph networks, transportation and land-use modeling techniques (e.g. four-step models, dynamic traffic assignment, agent-based models, land-use models), routing engines (e.g. OSRM, Valhalla)
Geospatial skills are a big plus (e.g. GIS, PostGIS, GDAL, OpenStreetMap)
Strong data analysis skills, good judgment and intuition around what can/cannot be possible, and ability to creatively develop potential approaches to hard problems
Good communication skills: written, visual, and verbal
Intellectual curiosity, quick learner, team player
Ability to come up with creative technical pathways to achieve a purpose, and assess which pathway is the most suitable. Ability to make appropriate compromises to enable scalability and productization of algorithms

We understand that the best candidates don’t always match everything in the job description. If you think you’re a fit for this role, please apply!

StreetLight Data is an equal opportunity/affirmative action employer. StreetLight Data 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.