Applied Machine Learning Scientist Core Ml

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Impact you will make:

Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Stay current on technology trends and developments in the relevant ML areas

Who you are:

PhD (or Msc)  in computer science, machine learning or related fields
Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning
Proficiency in Python, SQL and machine learning frameworks such as Pytorch and Tensorflow
Experience with distributed training and inference pipelines on large datasets
A willingness to branch out to learn new domains/ approaches and make progress independently

The following experience would be a plus:

Ad tech and/or mobile space
Hands-on in large scale production grade machine learning systems

Perks:

Comprehensive medical, dental and vision insurance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Director Of Trusted Ai Product Management Office Of Data Science

Help bring Liberty Mutual into the future by advocating on behalf of all data scientists across the enterprise.  For Liberty Mutual to be successful using ML, DS, and AI we need to ensure our customers, partners and regulators have trust in the data driven decisions we make.  The Director of Trusted AI Product Management will be a key member of the Office of Data Science Product Team.  As the Director of Trusted AI Product Management, you will lead Trusted AI efforts at Liberty Mutual. You will develop a vision, strategy and roadmap for the Trusted AI portfolio and obtain buy-in from key stakeholders.  Liberty Mutual aspires to be the data science leader within the insurance industry and you will play a key role in partnering across the organization to make this happen.
Responsibilities:
Develop vision, strategy, and roadmap for the Trusted AI portfolio inclusive of Data Science reliability, privacy & security, fairness, interpretability, and governance
Manage Trusted AI vendor and open-source selection and tool development for the Trusted AI Portfolio. Partner with Corporate Technology to embed Trusted AI practices into LMs enterprise DS tools
Provide updates and presentations to senior leaders on the Trusted AI Program
Partner with the Trusted AI Data Science Leader, ODS Science and Liberty Mutual Data Science teams to further cultivate a DS culture of trust and integrity
Build relationships across the enterprise and promote excitement for Trusted AI initiatives
Collaborate with Enterprise Risk Management, Corporate Actuarial, Legal, and Global Compliance and Ethics on efforts to reduce the risk of data science and machine learning
Key traits we are looking for:
Data Science Passion: you have a passion for making things better with data science
Integrity: you build and maintain trust with your colleagues, stakeholders, partners, and leaders
Leadership: You are a passionate leader who can bring the enterprise together, gain cross team alignment and deliver results
Customer Empathy: ability to try on the experiences of customers and stakeholders – especially those with conflicting viewpoints
Problem-solving: you can solve difficult problems efficiently with appropriate methodologies
Communication Skills: you can communicate to a wide variety of audiences adapting your technique as appropriate in a strategic manner
Job Specifications:
Reference:  2022-52909
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$129,500.00-–-$184,000.00-/-Year
Education Level:
 Travel: As Needed


Director I Data Science Product Design Modeling

The Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core programs. The ideal candidate is proactive and intellectually curious, highly technical, and can efficiently think through complex business questions independently. The Individual Contributor role will report to the Liberty Auto Design manager, but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team.
*Please note:  This is a grade range posting (Grade 17-19) and level will be determined by the Hiring Manager based on experience.
Responsibilities:
Build complex loss cost models for Liberty Auto products to drive pricing and non-pricing sophistication with minimal supervision
Act as a technical and subject matter expert for US modeling
Make well-informed decisions on how to structure a pricing program that considers the customer experience of additional questions, as well as regulatory restrictions on certain variables
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
Present recommendations to key stakeholders
Act as a mentor and help develop less experienced analysts on the team
Job Specifications:
Reference:  2022-52797
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$114,200.00-–-$204,200.00-/-Year
Education Level:
 Travel: As Needed


Data Scientist

Job Posting Title
Data Scientist
Why Big Fish Games?
Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more.
We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity
Overview
We are looking for an amazing Data Scientist to support the different Game Studios at BFG.  You'll be responsible for supporting A/B test design and analysis, building machine learning models, and helping to support our day-to-day operations by building scalable data science solutions.  Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators.
What You'll Do
Engage with PMs, designers, CRM managers to identify analysis requirementsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations.
What We're Looking For
Bachelor’s degree or equivalent work experience in Statistics or related discipline such as Mathematics, Economics, Computer Science, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsMinimum 1-3 years in a data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar tool
Benefits And Beyond
Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys.
FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!)  Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development  Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities
About Big Fish
Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start.
Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)!
Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
This position can be performed remotely and is currently open to residents of all locations, except in the state of Colorado and New York City.
Location
Remote - USA (Job Posting)
Job family
Game Analytics
Contract Type
Regular
Time Type
Full time
Company
Big Fish Games


Senior Data Scientist

The Data Science TeamYou will be part of the data science team. We work cross-functionally with other teams to bring data-driven impact to Fabulous and its business units like Product Growth, User Acquisition and Finance.Practically the team handles 3 data areas:   Data Project Management: Based on business needs, we sort requests, refine requirements and ACs with business and/or data stakeholders, prioritise, plan and executive while communicating proactive and frequently to ensure visibility and a well connected feedback loop with involved parties (reviewer, data stakeholder, business stakeholder)  Applied Analytics & Data Science: Data Exploration, Defining appropriate and agile analytics approach. We aim for simplicity and interpretability but don't shy away from complexity when faced with it. All new projects have a strong Data Science component during the first MVP iteration  Analytics Engineering: Data Modelling and Transformations to serve build, maintain and scale our Analytics Pipelines. Practically, as soon as an MVP gets validated by different stakeholders, we start implementing it and improving it iteratively in our dbt project. Testing and data observability is a highly important component. Proper architecture that helps manage TechDebt is another key element here as well. All members of the team are expected to excel in all three areas to be autonomously impactful.   We work in an agile manner by splitting bigger projects into iterations that rarely expand beyond 3 weeks to ensure impact.   We have a modern cloud-based Data-Stack (Fivetran - Big Query - dbt - Amplitude - Metabase - Looker Studio) and want to consolidate our ranks with a capable well-rounded Senior Data Scientist who can integrate our agile context smoothly and bring value quickly.Expectations | DutiesThis role is highly critical to the continuous success of the data science team: You will work on diverse high priority business projects to make Fabulous more data driven. Those projects will be in close collaboration with business teams and will aim for clear and tangible business impact like (improving accuracy of metrics, analytically exploring new growth perspectives, building well-tested analytics reporting pipelines, investigating and correcting data discrepancies, applying statistics and ML effectively...) You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, become the main point of contact with at least one business team, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth...)  You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission  You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics  You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills  You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers  Working at FabulousFabulous is a mobile app helping thousands of people every day to change their lifestyles by integrating healthy habits into their lives. Fabulous is using a behavioral economics lens to help everyone achieve their fullest potential. We work closely with researchers based at Duke University and our advisor is Dan Ariely, author of NYT bestseller Predictably Irrational.Featured onMichelangelo, the famous Italian sculptor, once said: “Every block of stone has a statue inside it, and it is the task of the sculptor to discover it.”At Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life.Awards Apple Best Apps of 2018 Editor’s app choice in more than 30 countries. Winner of Google’s Material Design Award Best App Finalist in Google Play Awards Ranked 5th Health & Fitness app  University Degree in Engineering, Computer Science or Applied Mathematics A minimum of 4 years of experience in applied Data Science with strong engineering component At least 2 years of previous hands-on experience with Digital Marketing/User Acquisition (aka UA) (attribution, iOS privacy & SKAN, UA metrics reporting) or Product/Growth (AB-testing, Retention, Monetisation...) Excellent SQL skills with previous experience building data models for analytics purposes using dbt or a similar data transformation tool that emphasises on good engineering practices and system architecture  Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…) Self-Starter with the ability to work autonomously and own and manage your projects fully (also manage your stakeholders and the communication with them) Excellent written and verbal communication skills (English) Comfortable in a remote work environment (we are a remote-first organisation)  Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) - or similar ones Prior experience in an agile start-up environment A professionally nourishing environment with: Co-working space reimbursement Monthly Workshops A Book Club Team Challenges Team-Building Activities A flexible and fully remote working environment Full-time teammates decide their own vacation time Wellness contributions towards for gym, therapy, Fabulous coaches Our environment fosters deep work: Few meetings and interruptions - no meetings for meeting’s sake Positive slack culture - #petsoffabulous and #radiofabulous Flat company hierarchy - roles are focused on deliverables Minimal bureaucracy - we focus on the work And the opportunity to work on a fast-growing product with a large user base that is frequently among the Top 10 most downloaded Health and Fitness apps that makes real change in people's lives.


Lead Data Scientist Financial Forecasting

ezCater is the most trusted provider of corporate food solutions – a $300+ billion market in the US alone. ezCater is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille, and had an up-round in December of 2021 when we were valued at $1.6 billion.

Data and analytics are critical to our future growth at ezCater. Equally as important, is how we transform that data into margin accretive business decisions. As a Lead Data Scientist in the Enterprise Performance Analytics Team, you will bring an unparalleled level of insights, and unlock boundless opportunities for the business. You will, first and foremost, own our financial forecasting algorithm, enabling partners and stakeholders from across the business to drive value and plan for ezCater’s future. The ideal candidate is a strong critical thinker, independent worker who can deliver on open-ended questions while working closely with collaborative partners.

What you'll do:

Own and develop our financial forecasting estimating year one bookings for our new customers
Improve financial forecasting modeling to meet business needs while abiding to rigorous analytical principles.
As an individual contributor, be the advisor and subject matter expert for data, forecasting and modeling for your domain; advance innovation and improvements to the analytics techniques, approaches, and processes used across the company.
Lead the forecasting strategy for broad, unstructured problems while driving forward deliverables that address fundamental and ambiguous business questions.
Contribute to financial planning by providing them with cohorted analysis of customer metric projections.

What you have:

5+ years experience in a relevant field, such as financial forecasting or data science, performing quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments.
Experience in deploying and maintaining machine learning algorithms that are widely used and adopted.
Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap.
Demonstrated proficiency in explaining complex analysis to stakeholders at all levels of the organization and translating conclusions into straightforward, actionable business recommendations and strategic direction.
Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives.
Expert proficiency in SQL and Python and libraries such as Pandas/Numpy/ SKLearn
Knowledge of data science / ML approaches (e.g. time series forecasting, Random Forest, Gradient Boosting and Logistic Regression, etc).
Experience partnering with business teams on agile model development.
Be able to own and deliver projects/programs both on your own and as a member of a broader team.
Experience in 2-sided marketplaces for both B2C and B2B customers is a plus.

The national cash compensation range for this role is $110,000 - $173,000*  per year.

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

ezCater does not sponsor applicants for work visas or legal permanent residence.

What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.

Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.

Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.

For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.

#LI-Remote
#BI-Remote


Lead Data Scientist

Job DescriptionCVS Health’s mission is to improve lives by making innovative and high-quality health and pharmacy services safe, affordable, and easy to access. Our team embodies this mission each day, pioneering bold new approaches to total health. We leverage large health and retail datasets & advanced data science techniques to drive the company’s pharmacy operations strategy; some examples over the past year include rolling out COVID-19 vaccines across the country as the lead retail provider in the nation, improving the pharmacy experience for millions of patients, and optimizing activities for thousands of medical providers.   We are seeking talented & passionate individuals to be part of this high-impact team.  Why CVS Health Analytics & Behavior Change?Looking for opportunities to use cutting-edge technologies to analyze petabytes of data? Interested in generating analytical insights to optimize retail and community pharmacy care?The Analytics & Behavior Change team is an elite, rapidly growing community of nearly 1,000 MDs, PhDs, MBAs, and MScs from top-tier universities and industries who bring their clinical, technical, and economic experience to bear in tackling some of today’s most critical healthcare questions. Get in at the ground floor of our digital transformation. The combined data assets of CVS Health are massive and largely untapped. Help us revolutionize healthcare by innovating solutions to high-visibility challenges with unparalleled access to unique datasets.What you’ll doThe Retail Operations & Immunization Analytics team provides analytics based strategic recommendations on all initiatives in the pharmacy. Over the past year, this has included rolling out nationwide COVID-19 vaccines, testing, & medications at scale while maximizing health equity, provider safety, and public health priorities. We continue to stand up a robust analytics engine to optimize these ongoing initiatives and provide executive reports for internal leadership & government leaders. Upcoming activities include rolling out critical initiatives to optimize immunizations and pharmacy product delivery, building a comprehensive analytics platform across all CVS pharmacies & providers, and improving store service levels for our customers.  The team wields cutting-edge analytics and data science techniques to improve the efficiency and effectiveness of our immunization and retail store operations. If you are a hands-on doer who enjoys an entrepreneurial working environment, join us as a Lead Data Scientist.  In this role, you will help manage and execute a portfolio of predictive modeling, forecasting, optimization, and evaluation projects. You will serve as an internal expert to business teams within our Retail Health business, to help them harness the power of data to answer mission critical problems and develop new and innovative products. You will report directly to the Lead Director of Data Science for Immunization and Public Health Analytics, while working together with a team of Data Scientists, BI developers, and analytics consultants. There is an option to be fully remote. In any given day, you will• Apply experience from strategy consulting and data science to successfully act as the owner for analytics and research initiatives • Collaborate with business partners to understand key drivers of value, as well as challenges and goals for new products and their implications for public health• Identify opportunities to translate business needs into data science solutions and develop actionable insights to address key challenges in healthcare and pharmacy care provision• Wrangle large structured and unstructured datasets from disparate enterprise databases, including prescription drug and medical claims, Electronic Health Records, retail transaction data and publicly available public health data sources.• Determine analytical approaches, modeling techniques and performance metrics to optimize and evaluate new health programs or interventions – previous projects have applied a diverse set of solutions using retrospective or prospective data analysis, including classification and targeting approaches, causal inference methods, NLP and machine learning models. • Own and manage stakeholder relationships across the business• Establish workplans, timelines, and deliverables for analytics and data science projects, and effectively weigh business and technical tradeoffs• Mentor a team of junior analysts and data scientists• Present modeling results and recommendations to senior stakeholders, tying progress to enterprise goals. • Share insights across teams to inform collaborative efforts. Develop white papers, publications and conference presentations based on key findings from projects.
Pay RangeThe typical pay range for this role is:Minimum: 95,000Maximum: 209,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 4+ years of experience leading analyses and data-driven initiatives with a demonstrated track record of business impact and problem-solving • 7+ years total experience• 3+ years’ experience extracting data using SQL or Spark• 3+ years’ experience conducting data analyses using R or Python• Demonstrated proficiency in using causal inference, applied statistics, machine learning and predictive modeling methods • Data visualization & storytelling experience (e.g. with tools such as Tableau)
Preferred Qualifications• Experience using advanced analytics tools to combine large data sets from multiple data sources and analyze them in a big data environment (such as ADL, Snowflake, DataRobot)• Healthcare sector or public health experience• Proficient in working with healthcare claims data• Strong ability to communicate technical concepts and implications to business, policy, and public health audiences
Education• Bachelor’s degree in quantitative field, such as statistics, economics, data science or computer science. • Graduate degree in a quantitative field or MBA with a quantitative focus strongly preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Data Scientist Marketing Analytics

Job DescriptionIf you love telling stories with data and creating actionable insights, and enjoy working on difficult problems and thriving in data driven organizations, come join CVS’s Retail Media Network (CMX) part of the Fortune 4 CVS Health. We are building a world class team at CMX with the goal to make a significant impact on the company’s already rapid growth. We want to make sure we are both innovative and rigorous as we expand our Analytics & Insights team to lead analytics initiatives that measure the performance of CMX campaigns across digital channels (display, search, social and video)As a Marketing Analytics Analyst, you will collaborate closely with marketing strategy, media activation and partner management teams to understand CMX campaigns objectives and develop campaign measurement methodology. Your responsibilities will include understanding learning agenda, performing test design and measurement through A/B testing, improving operational efficiency through python automation, leveraging customer insights to make future campaign recommendations and build models to generate insights. The ideal candidate will have an advanced SQL and Python background with experience in digital media, e-commerce or retail.KEY RESPONSIBILITIES• Understand campaign objective, identify key success metrics, and develop test design to evaluate performance towards the objectives.• Identify insights and key learnings from the past campaigns to help influence the planning of future campaigns (ie. Audiences, media channels) and drive change in digital marketing strategy and tactics.• Run A/B testing to measure campaign performance and deliver insights. • Experience in database design, data modeling and ETL process within different cloud environment platforms (ie. GCP, Azure, AWS, Snowflake, Databricks) • Automate the campaign measurement process using SQL and Python to improve operational efficiency.• Partner closely with leading publisher partners such as Google, Facebook, Pinterest and TTD to take advantage of new measurement features and learning opportunities.• Lead CMX analytics initiatives and any other ad-hoc analysis to better understand performance (ie. Closed loop report, basket analysis, purchase behavior analytics, customer journey analytics)
Pay RangeThe typical pay range for this role is:Minimum: 60,000Maximum: 128,700
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications2+ years of analytics experience with a track record of delivering business impact1+ years of Python experience1+ years of SQL experience
Preferred Qualifications•Marketing Analytics experience•A/B Testing Experience• Write complex SQL queries to extract data from SQL Server/Teradata/Snowflake/GCP environments which will serve as underpinnings of ad-hoc and recurring analyses• Experience conducting large scale data analysis to support business decision making• Knowledge and experience in identity resolution and digital data connectivity platforms (ie. Liveramp, Acxiom, Experian, Throttle)• Understanding of the digital media landscape with a focus on retail media networks• Excellent working knowledge of large data manipulation and data mining using complex SQL and Python programming.• Ability to analyze raw data, draw conclusions, and develop actionable recommendations• Strong verbal/written communication and data presentation skills. Must be able to explain technical concepts and analysis clearly to a diverse audience.
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer  Science, Business Analytics, Economics, Physics, Engineering, or related discipline.  Master’s degree preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Data Scientist

Job to be done
We’re the best way to get better.

About Buoy Health:
At Boston-based Buoy, you can join a work-from-wherever team that empowers people to choose the best care for their health needs. Developed out of the Harvard Innovation Labs by a team of doctors and data scientists, Buoy leverages its AI to understand peoples’ symptoms and then guide them to relevant care options within Buoy’s care marketplace, where people are free to select the option that feels best for their situation. Buoy also works with employers, health plans, and health solutions to simplify and streamline accessing covered care options.

Compensation: $120,000-150,000 annually

About the Role:
Buoy is on a mission to build the most robust destination for managing health needs. By pairing our AI navigation capabilities with an agnostic marketplace of third-party health solutions and care providers, we are matching people with the best care for their unique situation. One of Buoy’s greatest differentiators is leveraging our machine learning algorithms to intake users’ symptoms and provide a potential diagnosis and triage recommendation. As a Data Scientist at Buoy, your core responsibility is to solve problems intelligently and creatively. You will work with Buoy’s product and medical teams to improve the way users find and engage with care through Buoy. You will apply both classical and modern machine learning techniques. You will formulate hypotheses and design experiments to evaluate them. You will develop, specify, and implement validation methods that scale and ensure that other teams are empowered to do the same. You will communicate insights about user behavior, agent behavior, data quality, and data completeness to different teams across the company. To be successful, you must have a keen interest in data-driven decision making and helping people make better decisions about their health.

Responsibilities:
Implement data-driven solutions to improve the way Buoy’s users engage with care through Buoy
Work with our product and engineering teams to productize models and services
Design and validate experiments to test models and solutions
Advise on A/B testing best practices
Turning complex data sets into actionable insights to drive product performance
Gather, process, and analyze data to support research
Synthesize and communicate insights to the whole company
Define, evaluate, and monitor key metrics and understand the root cause of changes

About You:
BS in Computer Science, Statistics, or related, or equivalent experience
3+ years related work experience
Programming experience in Python, C/C++ or Java (3+ years)
Professional experience in a quantitative analysis field (2+ years)
Good written, spoken, and visual communication skills
Ability to formulate effective hypothesis and design experiments
Ability to define relevant metrics that can serve as appropriate and accurate measurements and lead to actionable insights
Experience with machine learning techniques
Experience in e-commerce AND healthcare
Bonus Points for the following experience:
Graduate degree in Computer Science, Statistics, or related
Experience with machine learning applications to e-commerce
Experience in personalization and consumer behavior
Familiarity with data visualization techniques
Experience with Bayesian networks

Benefits:
Medical, dental, and vision
401k with company match
Stock options
Generous unlimited vacation policy
L&D reimbursement policy
Work from Wherever—Buoy is remote first, with employees located across the US
Time off for major holidays, including the last two weeks of the year

Equal Opportunity Employer Statement:At Buoy, we are united by our commitment in guiding people to the right care. And we believe it takes a workforce that nurtures difference to get the job done. Buoy champions inclusion. We encourage applicants of all ages, races, ethnicities, colors, national origins, genders, gender identities and gender presentations, sexual orientations, disabilities, veteran status, and other characteristics that make a person unique. We are proud to be an equal-opportunity employer, and to be a part of a team that prioritizes diverse points of view.

**This role is located in the United States. Unfortunately, we are unable to support international applicants at this time.


Senior Data Scientist

EverQuote is seeking a Senior Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success.
What you’ll do:
Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. You will establish yourself as a technical leader and a valued team member as our team continues to grow.
About you:

4+ years of professional experience as a data scientist including experience developing and releasing predictive models to production
Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions
Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization
Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvements
Advanced knowledge of applied mathematics and statistics and their common applications in online businesses
Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers
Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits
Strong skills in statistical and scientific programming in Python or R, fluent in SQL, proficient with Jupyter notebooks
Experience with packaging your code for deployment and reusability
Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders
Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack
Entrepreneurial mindset, want to grow a business, and love working with an Agile team
Thrive in a fast-paced work environment where everyday contributions have a big impact
Bachelor’s degree in a technical field such as mathematics, statistics, computer science or economics; Master’s degree or PhD in a relevant field preferred.

We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.
About Us:
EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.


Head Of Quantitative Science

What you will be doing:
Beacon Biosignals is seeking a Head of Quantitative Science to oversee the discovery and deployment of scalable EEG-based neurobiomarkers atop Beacon's Platform. As a Head of Quantitative Science, you'll work directly with executive leadership and Beacon's data science teams to help equip Beacon and its partners with meaningful and necessary brain health metrics to drive the next-generation development of precision therapies for brain disease. This role reports directly to the Chief Technology Officer. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York, or the Bay Area.
What success looks like:

Establish practices to optimize both the automated and manual feedback loops that power the execution and delivery of data science at Beacon
Structure those feedback loops to ensure that data science outputs fold cleanly back into Beacon's core platform, enabling our pace of scientific discovery to compound with each new trial, dataset, and model
Identify critical growth areas for individuals, teams, and domains within Beacon, and build out cross-functional collaboration channels that catalyze that growth

What you will bring:

You've acted as a managing lead spanning multiple data science teams simultaneously within a biopharma context
You've grappled with the complex organizational dynamics that constrain and accelerate analysis efforts across the different phases of drug development
You write a lot and read even more. Information-gathering is ingrained in every aspect of your work. Your decisions incorporate feedback from stakeholders, your reports, collaborators, and historical context that you intentionally mine over time
You have a keen sense for the bandwidth limitations, technical debt, and non-iterative processes that drag a project down, and you've employed effective strategies for preventing/remedying these issues in the past
You love seeing teams and individuals level up. You're dedicated to helping direct reports overcome challenges and seize opportunities that are crucial to self-growth
You recognize the distinction between the functions of technical and organizational leadership. You strive to work in a manner that embodies both
You push for transparency and objectivity when evaluating your projects, your reports, and hiring process. You recognize the symptoms of implicit bias and strive to account for them
You're highly cognizant of inter-team dynamics and the effects of Conway's law on system design. You pursue team topologies that are well-shaped to address both proactive and reactive organizational goals
You're comfortable working in a remote environment, and have demonstrated success doing so in the past


Senior Data Scientist

Here at Borrowell, we stand in solidarity with Ukraine. We welcome all people making use of the Canada-Ukraine authorization for emergency travel (CUAET) program to apply and we will get back to you as soon as we can.About Borrowell:Borrowell is a Canadian company whose mission is to make financial prosperity possible for everyone. The first in Canada to offer free credit scores, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future. Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2.5 million members, Borrowell is one of the largest fintech companies in Canada. We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.Put simply, we put people first. We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team. We know that diverse teams perform better; half of our team identify as women or non-binary.We’re always on the lookout for passionate and driven people. If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!About the Role:As a Senior Data Scientist, you will play a key role in formulating the most suitable Machine Learning (ML) solutions through identifying new opportunities, then owning the end-to-end development of ML models (ideation, development, validation, and model monitoring). Alongside our robust Data Analytics and Data Engineering teams, you will work together to iterate existing models (such as product ranking), and build, test, then implement net-new models for projects involving customer personalization, retention, and quality of our product flow experience.During your first year, you can expect to: Identify gaps, understand business requirements, translate them into problem statements, then ideate and recommend data science solutions after thorough research Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging/wrangling Identify the most fitting algorithms and statistical techniques for various projects, as well as the best features for models Set up and own post-deployment model monitoring Make business recommendations and effectively present the findings across various stakeholder levels  Past working experience building ML models for real-world problems  from ideation to implementation Comfortability with making business recommendations and presenting to stakeholders Demonstrated proficiency in one or more statistical programming languages for data science - we use Python Comfortability with writing complex SQL queries to extract and integrate data from multiple database sources Desire to learn and implement production deployment of ML models, if not experienced with it Nice to Haves: Bachelor's Degree (or equivalent experience) in a quantitative discipline Experience with production deployment Proficiency in SparkSQL, PySpark, and/or Azure Databricks Market knowledge in fintech, ecommerce, and/or social media   The Opportunity - have a major impact at a growing company that is helping make financial stability possible for everyone  Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists  Additional Health Benefits - virtual benefit offerings that allow you to connect 24/7 with nurses, doctors and mental health professionals  Parental Leave Top-up - available to new parents  Wellness Benefit - $600 annually to spend on whatever brings you joy  WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you  Employee Development Benefit - annual reimbursements on payments to help your learning  Givewell Benefit - 1 paid volunteer day a year to give back to the community  Flexibility - flexible working hours and a flexible vacation policy  90 Days Away Policy - you can travel to other countries and work outside of Canada for up to 90 days a year - so far, people have used this opportunity to visit Spain, Portugal, Costa Rica, Brazil, France, Italy, the Netherlands, and more We are remote-first across Canada, meaning you have no mandatory obligation to come in-office unless you choose to do so - you decide what is best for you. Our offices are located in Toronto and Kelowna, with teams distributed primarily in Ontario and BC. We do not intend on changing this remote-first status.At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.#LI-Remote


Manager Data Science

About the Opportunity
How often are you given the opportunity to build something from the ground up, with an abundance of resources at your disposal; to be part of a team of people accomplished in diverse scientific and engineering disciplines, focused on using the best of what lies at the forefront of technology to address complex, real-world problems that have a positive impact on potentially millions of peoples' lives? This is that kind of opportunity.
Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that. We are seeking a thoughtful, hands-on, and output-oriented manager of data science with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with other departments such as Engineering, Product, Customer Success, and Commercial teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models. Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.
Key Responsibilities

Design, build, test and integrate your predictive models into our product offerings

Work with data, such as data cleaning, transformation, extraction, and loading (ETL), to prepare datasets for further analysis and modelling

Perform exploratory data analysis, evaluate datasets for business values, and produce easy-to-understand visualizations highlighting key insights

Develop tools to enable scalable practices across the growing Data Science team; such as model and query optimization, re-usable internal libraries, and process improvements
Use a variety of machine learning techniques to solve product focused business problems.
Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process
Coach and lead a team of data scientists and analysts, provide guiding and coaching while delivering data science enabled solutions
Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy
Mentor and be mentored by colleagues of varied experience levels and subject matter areas

Minimum Requirements

Ability to bring data science into action; for example, discover relevant research papers and implement the key ideas from the paper into working models

Experience with Bayesian models and applying statistical models for solving real world business problems
High proficiency in Python and SQL
Exceptional written and verbal communication skills
Experience building data models, and a solid understanding of the “modern data stack”
Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills
Ability to work as part of a collaborative cross-functional team in a fast-paced environment
3+ years of relevant experience in an analytical role involving data science and statistical modeling
Master’s degree or above with strong academic performance in Data Science, Computer Science, Engineering, Statistics, or equivalent fields

Preferred (Nice-to-have) Qualifications

Experience in the life sciences industry

Experience with healthcare data, ideally clinical/operational clinical trial data

Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)

Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)

Experience with Looker, Tableau or other BI visualization tools

Salary Range: $140,000 - $160,000


Data Scientist Ii

The Technology Data Science & Data Governance team is looking for a highly motivated Principal Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be confident, organized, creative, and interested in identifying and solving business problems using data and analytics. They will have the right mix of experience, analytical, technical, and communication skills to thrive in a fast-paced environment. In addition, they will take active roles representing the Data Science community in the Liberty Mutual wide Data Science Professional Resource Group (DSPRG) and serve as a mentor to other data scientists, data analysts and contribute to Technology Data Governance efforts.
The Analyst II, Data Science collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues.
Responsibilities:
Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
Customizes analytic solutions to specific client needs.
Responsible for smaller components of projects of moderate-to-high complexity.
Regularly engages with the data science community and participates in cross-functional working groups.
Job Specifications:
Reference:  2022-53024
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$114,200.00-–-$161,600.00-/-Year
Education Level:
 Travel: As Needed


Data Scientist I

The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment.
The Analyst I, Data Science gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
Assists in customizing analytic solutions to specific client needs.
Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
Engages with the Data Science community.
Participates in cross functional working groups.
Job Specifications:
Reference:  2022-53025
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$90,100.00-–-$126,200.00-/-Year
Education Level:
 Travel: As Needed


Staff Data Scientist Ai Product

About the role
As a Staff Data Scientist at Jasper, you will help implement and train the state of the art AI & NLP models, evaluate them, and integrate them into our robust production environment for inference. You will help build automated data retrieval, feature extraction, model training and deployment at scale. You will suggest and institute appropriate evaluation metrics to evaluate models in sandbox and production environments via A/B testing framework. You are good at distilling the results and communicating it to all stakeholders in layman terms. You will keep yourself up to date with the latest research in AI & NLP and come up with proposals to improve our models. You are capable of estimating your own tasks to come up with an accurate delivery timeline for projects. You will produce high quality code through rigorous unit tests, code reviews, and documentation. You will contribute as an individual as well as be capable of leading a team to execute on projects.
Our teams are passionate about supporting new employees and growing a diverse culture of ideas and collaboration. Our work is about using artificial intelligence to unlock creative potential. We see AI as a partner to creatives that can get them through writer’s block, over hurdles and out of the content hamster wheel. Ai should empower content creators to do their best work and get time and mental space back for new ideas. Our target market is composed of creatives (writers, designers, content marketers) and content-forward companies.
The role is open to candidates located in the US and can be remote within the United States. We have offices in Austin, TX and Salt Lake City, UT with employees based across the US. We've built a strong foundation to support remote employees engagement with other teams. We have a mix of experience levels and backgrounds, and we’re building an environment that celebrates knowledge sharing, mentoring and career growth.
What you will do at Jasper

Design, implement, train, and evaluate the state of the art AI & NLP models.
Contribute to the design and development of ML pipeline to preprocess data, extract features, train and deploy models at scale.
Propose and implement appropriate evaluation metrics to evaluate models.
Communicate the technical results to all stakeholders in layman terms.
Be a steward of identifying and incorporating the latest research in AI & NLP.
Own modules of Data Science components that you work in.
Contribute and evolve the roadmap for Data Science features.

What you will bring to Jasper

7+ years of experience in AI, NLP, ML and Data Science.
5+ years of experience solving analytical problems using data-driven and quantitative approaches.
Strong knowledge of statistics, error rates, and evaluation metrics.
Strong knowledge of analysis tools and packages such as NumPy and SciPy.
Strong knowledge of frameworks such as TensorFlow, PyTorch, Keras.
Strong knowledge of SQL and NoSQL databases.
Ability to communicate technical findings in a clear, precise, and actionable manner.

Compensation Range
At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $207,000- $240,000. Compensation may vary based on relevant experience, skills, competencies and certifications.
The Engineering values that guide us:

Engineering without ego - We own our work, but within the framework of the team. We see features through to the end while respecting our team members' ideas

Strong opinions, loosely held  - We fight for our ideas, but are open to hearing others' suggestions

Ship fast, sustainably, and simply  - We move quickly without over-complicating but with a minimum of debt

Scale each other - We support and teach each other every day in order to be the strongest team possible


Data Scientist Pharma

About ClosedLoop:

ClosedLoop.ai is healthcare’s data science platform. Purpose-built and dedicated to healthcare, we make it easy for healthcare organizations (HCOs) to use AI to improve outcomes and reduce costs. Our platform combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates.
We’re the leader in delivering unbiased accuracy and explainable AI healthcare solutions. Regardless of whether our customers have extensive data science teams or are just starting out, our products are engineered to help them harness the power of AI to improve patient outcomes, achieve clinical excellence, and enhance business success.
What sets us apart is our commitment and ability to deliver AI solutions at-scale in healthcare. We’re ready to help change the world. Are you? Come join us!
About the Role:
ClosedLoop is looking for a senior, customer-facing Data Scientist with a pharma background to build and deploy predictive models for our healthcare customers. ClosedLoop data scientists utilize our platform and work alongside our customer’s data science teams to deliver machine learning models into real world healthcare settings. In addition to ensuring the quality of the models, you will also help customers understand how to integrate those models into their processes and to measure the effectiveness of the models in production.
What you'll do:

Building predictive models on healthcare data using the ClosedLoop platform.
Work with customer teams to ensure that models are deployed and integrated into real world decisions.
Cleaning and vetting of a wide variety of healthcare data (claims, medical records, labs, ADT, etc) using the ClosedLoop platform.
Train and educate customer data scientists on best practices for data science in healthcare.
Create presentations and present model results to both technical and non-technical audiences
Make suggestions and provide commentary to the product management and engineering teams on how to improve the platform.

What you'll bring:

Bachelors or higher in Computer Science or related experience
5+ years of engineering experience with Python
Prior experience with healthcare data science required (specifically pharma)
Prior experience working in a customer facing consulting position
Understanding of machine learning and statistical analysis

Why ClosedLoop:

Competitive salary
Equity
100% company-paid health insurance for medical, dental, and vision for employees and their families
HSA & FSA options
Short & long-term disability
Life insurance
401k plan
Flexible PTO
Parental leave
Remote work

Employee Testimonials:

"Exciting place to work! - Company has a great vision for the role of machine learning (and AI) in healthcare. Exciting to go to work every morning!"
"Work Hard and Feel Rewarded - The CEO and CTO have total faith in their team, and the employees ideas and opinions are highly respected and listened to. The passion for our company's mission is contagious from the executive team, which makes our high standards fair and rewarding."
"Room to thrive"
"Passionate People, Supportive Environment, & Strong Vision"


Data Scientist Anti Money Laundering

Overview
Center 2 (19050), United States of America, McLean, VirginiaData Scientist, Anti-Money Laundering (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering Modeling and Advanced Data Insights team builds the machine learning models that identify potential money laundering, terrorist financing, or human trafficking. We develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, Spark, and Rmarkdown. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:
Work with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Basic Qualifications:
Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhDAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databases
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City:$156,595.00 - $184,748.00 for Data Science PhDColorado:$132,699.00 - $156,555.00 for Data Science PhDCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Data Scientist

About Watershed
Watershed is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
We have offices in San Francisco and London and remote team members across the US and Europe. We hope that you'll be interested in joining us!
The role
Data is at the center of everything we do at Watershed and our work as data scientists touches every part of the company—from product strategy, to building the world's most complete model of global carbon emissions, to creating delightful customer experiences powered by machine learning. Example projects at Watershed include:
Become an expert in climate, and help develop novel methodologies to measure and predict the impact of our user's business activity.
Develop methods to automatically interpret corporate data and user input using machine learning.
Build and deploy production models to estimate carbon emissions for both Watershed users and other businesses
Improve the automation and validation of our “carbon engine” using data driven techniques and anomaly detection
Build and augment both internal and user facing tools that improve our ability to visualize, analyze, understand, and act on our user's carbon footprint.
Above all we are looking for data scientists who are excited to learn and want to own problems end-to-end. If any of that sounds interesting to you, we hope that you'll consider joining us!
FAQ
What’s your approach to remote work?
Watershed is hiring team members on all US and EU time zones, and we’re committed to growing a long-term distributed team. We have hub offices in San Francisco and London, and remote team members from Oregon to New Jersey to Ireland. There may be certain jobs that need to be in San Francisco / London or certain locations, and will be specifically noted in the job description or in conversations.
What are Watershed’s return-to-office plans?
We reopened our San Francisco office in June 2021, and treasure the energy and collaboration that comes from working together in person. We’re particularly lucky to have a great rooftop outdoor space, where we can gather for lunch, one-on-one’s, and the occasional outdoor whiteboarding session. We’re also investing deeply to support remote as a first-class hub, with regular Zoom social times, an emphasis on transparency and written artifacts, and periodic offsites to gather everybody in person.
We’re a COVID-cautious company. The office is open to vaccinated team members with regular testing, and we’ll continue to pay close attention to case rates to ensure it’s safe for everybody.
Do I need X years of experience, climate experience, etc.?
No, Watershed is hiring team members with a broad range of prior experience, and we’d love to talk with you regardless of yours. We prioritize mentorship on the job. There maybe certain jobs that will need X years of experience, and will be specifically noted in the job description.
What’s the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a (usually virtual) onsite interview after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.


Lead Data Scientist

Apartment List is looking for a Lead Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:

Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization

Here are the skills and experience you’ll need to be successful:

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact


Senior Director Data Science

We are looking for a Senior Director to take a leadership role on our Data Engineering and Data Science team and support our fast growth. This is a key technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.
Reporting to our VP of Data Engineering and Data Science, you will grow and lead a team of data scientists, data engineers and data analysts, and will act as both a people and technical thought leader. If you are passionate about travel, about working on both strategic projects and hands-on implementation, and relate to our vision and DNA, please apply.

Here's what you'll do:

Develop and lead a data team strongly integrated with product and engineering and with company-wide stakeholders including sales, marketing, supplier relations, traveler experience, and finance

Partner with product, engineering, and other cross-functional leaders to drive analytics and insights-driven decision making throughout the business

Work with the VP of Data to develop, obtain support and execute on a short, medium, and long-term data roadmap and strategy. Lead quarterly and monthly planning process, as well as weekly sprints

Recruit great data scientists, data engineers and data analysts, in collaboration with Hotel Engine’s recruiting team. Mentor the professional development of direct reports, managers, and individual contributors, through coaching and performance management. Build diverse and distributed teams and collaborative environments.
Act as though leader for the team’s work on product analytics and experimentation, modeling and predictive analytics, data privacy and security and drive the overall data strategy for the company.
Ensure that the team builds and maintains world-class data pipelines, data warehouse, and business intelligence and analytics solutions.
Design, built, synthesize and present robust analyses aimed at driving the strategic direction of Hotel Engine
Lead the development of predictive algorithms based on principles from statistics, machine learning and operations research to power and improve product features, increase customer engagement and satisfaction, deliver efficiency gains throughout the business, and support better decision making
Work with product and engineering to deploy ML-based solutions into production
Working closely with cross-functional stakeholders to define, track and report core business and product metrics and KPIs to inform both strategic decisions and day-to-day business operations
Identify new opportunities to leverage data to improve HE’s products and processes and help our business
Work with product and engineering to define and capture key metrics for our new products and identify causal impact through experimentation and causal inference methods

Here's what we’re looking for:

10+ years of relevant experience in data analytics, data science and/or machine learning. At least 6 years as an individual contributor and at least 4 years leading a data team

A PhD or MS in a quantitative field (e.g., Statistics, Economics, Mathematics, Sciences or Engineering)

Expert knowledge of a scientific computing language (such as Python or R) and SQL

Expertise in statistics and machine learning, and a history of empowering whole organizations to use data by making data robust, well-structured, and as self-serve as possible Leadership experience in an analytical role at a growth-stage company

Track record of recruiting and leading high-performing data teams

Effective communication skills both in written (memos, emails, decks) and verbal form

Proven ability to lead projects to completion and collaborate seamlessly with others

You are a self-starter, able to operate effectively and with autonomy in a fast-paced environment with a high level of ambiguity, and you have experience building productive and positive relationships across an organization at all levels (entry level to senior executives)

Track record of rigorous execution and high impact

Highly detailed-oriented and exceptional organizational and follow-through skills is a must

Cash Compensation:

In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $180,000 - $230,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.

Remote opportunities:

This role is eligible for remote work, and you can work from anywhere in the U.S.


Lead Data Scientist

Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?

Lead, coach, and mentor junior data scientists
Review machine learning models and code
Strategize with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy

What do you need?

5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Experience strategizing with key stakeholders and multiple business units
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences

Nice to Haves?

Experience working in insurance, marketing, or fraud
An advanced degree

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Sr Insurance Data Scientist

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Insurance Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.