Data scientist jobs in Highland Park, NJ

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Duties: Responsible for identifying key metrics and conducting in-depth analyses to guide business and inform strategy decisions. Work with cross-functional teams including Product, Sales, Marketing, Account Management, and Risk to help upsell and cross-sell products and to help improve our merchants' experience. Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics. Identify and define a business challenge and craft a strategic analysis plan to uncover the necessary insights and solutions. Collaborate with leaders, various internal teams and stakeholders across the company to develop insights and analytics solutions for both internal and external clients. Examine diverse data sources and develop statistical models to pinpoint trends and key factors, supporting decision-making in product development, sales strategies, risk management, and operational processes. Build data visualization by leveraging existing tools or developing new ones, as well as providing ongoing enhancements to business dashboards. Implement processes and build tools to make data access, extraction, and analysis more efficient. Build and grow relationships with internal teams to proactively identify business needs and address them using analytics. QUALIFICATIONS: Minimum education and experience required: Master's degree in Business Analytics, Data Science, Machine Learning, or related field of study plus 4 years (48 months) of experience in the job offered or as Data Scientist, Decision Analytics Associate, or related occupation. Skills Required: This position requires four (4) years of experience with the following: Using Python to conduct complex analyses to solve unstructured problems via building predictive models using libraries NumPy, Pandas, Scikit-learn, Scipy, and Statsmodels; predictive modeling techniques, including Logistic Regression and Decision Trees; unsupervised learning using K-Means clustering and elbow method; model interpretability via SHAP; Microsoft Excel (VBA, Vlookup, Index Match, Pivot Tables). This position requires two (2) years of experience with the following: Customer Churn Predictive Models with supervised learning techniques leveraging XGBoost, Random Forest, and time series forecasting methods ARIMA, Prophet, and LSTM using libraries TensorFlow, Keras, Fbprophet; anomaly detection methods, including Isolation Forest and One-Class SVM; Statistical Analysis and Hypothesis Testing capabilities, including ANOVA and TURF Analysis; handling banking-related datasets, including Customer Complaints Data and Payments Data; Financial Scenario Analysis and Risk Modeling using Monte Carlo simulations and scenario analysis; Dashboard creation and automation using Looker, Tableau, and Power BI; Advanced SQL, including writing CTE, Windows Functions, and Stored Procedures; data pipelines leveraging Cron Jobs, Shell Scripts, and Python Automation; Log parsing and text processing using PERL; Data integration with Java backends via REST APIs; KPI tracking and reporting automation by integrating Python, SQL, and BI tools; Jupyter Notebooks for data analysis and visualization; Streaming and deployment with Apache Kafka and Docker. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: ******************************************** Job Location: 545 Washington Blvd, Jersey City, NJ 07310. Full-Time. Salary: $173,945 to $210,000 per year.

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we're inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we're building the future of online marketplaces -together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we're just getting started! As one of the fastest growing marketplaces, we're looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. Role Data Scientists at Whatnot bring technical expertise, analytical mindset and strong communication skills to solve problems and identify opportunities critical to the growth of Whatnot. You will: * Drive end-to-end analysis of revenue and category performance in our non-US markets, highlighting macro shifts and local nuances. Identify and drive deep understanding of growth levers, risk vectors, and user behavior. * Support strategic decision-making by creating forward-looking insights - identifying leading indicators, pressure-testing assumptions, and surfacing risks before they materialize. * Translate ambiguous business questions into structured analyses that help teams understand the "what" and the "why" behind performance shifts. * Build descriptive reporting and insight tools that reflect both country performance and category specifics, including differences in customer behavior, currency, seasonality, and GTM structure. * Create regional forecasts and directional models that support headcount planning, sales targeting, and business growth decisions. * Incorporate data from CX, Logistics, Finance, and other teams to guide growth opportunities. * Become a trusted partner to Sales, Marketing, Account Management, and Category leaders, helping them make smarter, faster decisions based on data. * Build dashboards and automated reporting to support weekly and monthly business reviews, while driving clarity on KPIs that actually reflect performance. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York hub. About You We're looking for an experienced, globally-minded Data Scientist who knows how to use analytics to drive business clarity, especially in fast-growing, multi-market environments. You understand that what works in one country may not work in another, and you bring curiosity and rigor to helping the business navigate that complexity. You understand the whole business thinking about how to grow revenue and categories but how also behind the scenes product and commerce implications impact different markets. You thrive in cross-functional, multicultural environments and enjoy tackling open-ended problems with structured thinking and sharp analysis. You love building tools that help people take action, not just crunching numbers in isolation. Your work influences how we scale, where we grow, and how we define success in diverse markets. In addition to 5+ years of experience in the Data Analytics field, you should have: * Experience supporting go-to-market, sales and marketing where understanding trends, connecting dots and forecasting were central to decision-making. * Familiarity with local market behaviors, such as differences in payment systems, buyer behavior, or GTM approach by geography. * A track record of supporting localized growth efforts in emerging markets, cross-border commerce, or international product launches. * Previous experience working with marketplaces, ecommerce, mobile gaming, or social media. * Expertise in SQL and scripting languages for data analysis, reporting, and dashboarding. * Proficiency with visualization and BI tools (Looker, Tableau, Mode, etc.), not just for reporting, but for building tools others can use reliably. * You communicate clearly and influence without needing authority - business partners value your judgment and seek out your input. * You prioritize speed, clarity, and utility - building tools and insights that the business actually uses, not scientific models that sit on a shelf. * Strong business judgment and a knack for identifying the signal in noisy data with context of the overall business implications. * Excellent verbal communication and presentation skills to stakeholders, leadership, and investors. * Experience working in an environment where you have to balance rigor and speed, knowing when to push for perfection vs. ship and iterate. Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Compensation For Full-Time (Salary) US-based applicants: $205,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. **Responsibilities** + Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams + Quantify ROI on marketing investment,determineoptimalspend range across the portfolio,identifyproposed efficiency caps by channel, set budgetamountsand inform subscriber acquisition forecasts + Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting,messagingand tactics, and that help cross-validate model results + Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV,etc) + Support long-term MMM (et.al.) automation,productionalizationand scale with support from data engineering and product + Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets,channelsand subscriber types **Basic Qualifications** + Bachelor's degree in advanced Mathematics, Statistics, DataScienceor comparable field of study + 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices + Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency andoptimizespend, flighting and mix to maximize return on ad spend (i.e., MMM) + Exposure / understanding of media attribution practices for digital and linear media, the datarequiredto power them and methodologies for measurement + Understanding of incrementality experiments tovalidatemodel recommendations and gain learnings on channel/publisher efficacy + Exposure to / familiarity withwith BI/data concepts and experience building out self-service marketing data solutions + Strong coding experience in one (or more) data programming languages like Python/R + Ability to draw insights and conclusions from data to inform model development and business decisions + Experience in SQL **Preferred Qualifications** + Mastersdegree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. **Job ID:** 10137431 **Location:** New York,New York **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

:" Our roster has an opening with your name on it FanDuel is looking for a Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management. This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded, and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems. THE GAME PLAN Everyone on our team has a part to play * Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence * Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution * Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend * Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling * Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs * Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations * Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines * Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy * Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives * Assist in coaching, developing and performance managing less experienced team members * Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience THE STATS What we're looking for in our next teammate * Minimum of 3+ years of previous Data Science or Analytics Experience * Minimum 1+ years building and deploying complex machine learning models with real world applications * Have a developed technical skill set which facilitates high-quality, efficient & comprehensive quantitative analysis * Proficient in SQL and experience of manipulating large datasets in Microsoft Excel * Proficient in statistical or programming software and techniques (e.g. in Python, R, C#, VBA, etc.) * Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders * Experience working with data visualization tools like Tableau an advantage * Undergraduate degree in a numerate or technical discipline * Interest in sports is a plus * Interest or experience in the Sports betting industry is an advantage ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid "}

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Partiful's mission is to cultivate friendships through social events. We believe parties (and other social events) are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests - download the app to see how it works! We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was named Google's Best App of 2024, a Finalist for Apple's App Store Awards, and Apple's App of the Day (awarded 4x). In 2025, we were named one of TIME's 100 Most Influential Companies, one of Fast Company's Most Innovative Companies, and named to Inc. Magazine's Best in Business List. Our company is backed by top-tier investors including Andreessen Horowitz and Google Ventures, and advised by the founders of some of the most successful consumer social products ever made. The Role We're looking for a business-oriented data scientist to help us unlock the full value of our data, supercharge our growth, and guide our product roadmap. You'll work closely with leadership, product, and marketing to help define meaningful metrics, guide product decisions with insights, and empower the team to use data confidently. This role sits at the intersection of business intelligence, product analytics, and data governance-helping to build systems and culture that make data more accessible and actionable for everyone. We're an NY- based team with a hybrid in-person model, in the office 3 days a week. Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required). What you'll do: * Make key data decisions across the company * Analyze large and complex datasets to derive actionable insights * Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?) * Collaborate closely the product team identify key benchmarks for new features, and analyze the performance of all aspects of the product * Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth * Own the data dictionary and support a culture of data literacy across teams * Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive * Identify and execute on opportunities to improve our data infrastructure, processes, and tooling * Provide regular updates and insights to help the company stay informed on progress towards our goals What you'll bring: * A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field * 2-4 years of experience in data science or a related role * Experience in consumer is preferred * Fluency in SQL and Python (Javascript a plus) * Experience with machine learning frameworks and libraries * Familiarity with data tools such as Amplitude, DBT and Hex * Experience using data to drive business decisions; care about not just what the numbers say, but how we use them to make better decisions * Experience communicating complex data findings in a clear and concise manner to non-technical stakeholders * Ability to collaboratively with others * User empathy * Ability to elegantly structure and decomp complex data problems * Comfort with ambiguity * Pattern of taking initiative, working independently, and thriving in fast-moving environments * Ability to put ego aside when making decisions What we offer: * 401(k) with up to 6% matching * Comprehensive health, dental, and vision insurance for you and all your dependents (FSAs and HSA plans available) * Free OneMedical membership, telehealth, and virtual mental health services * Commuter benefits & contributions towards ClassPass and Citibike memberships * Unlimited vacation (minimum 3 weeks required) * Quarterly stipend to plan your own party and dogfood the product * Semi-annual travel benefit & semiannual team off-sites * Get invited to exclusive parties In your application, please include a note on what's got you excited about Partiful! The compensation range for this role is $140,000-$160,000 depending on years of experience. We're an equal-opportunity employer and strongly encourage applicants from traditionally underrepresented backgrounds to apply. We're proud to be a diverse team, and actively work to bring new perspectives to the table.

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Roles and Responsibilities Introduction As a Data Scientist at Rantodac, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role and Responsibilities As an Advisory Data Scientist, you will demonstrate expertise in Advanced people analytics. We use the latest advanced analytics technologies, tools, and techniques to extract insights from our data. We work collaboratively with other teams within the company and apply these insights to make complex and strategic decisions for the benefit of Rantodac. As a Data Scientist, you'll team with some of the best mind in the industry to create innovative world class solutions focused on business needs. You'll do this by designing/developing analytical approaches to solve our client's business problems. Responsibilities: Work with clients in defining the key business problems to be solved while developing, maintaining and leveraging key client relationships. Identifying, gathering, and analyzing complex, multi-dimensional datasets utilizing a variety of tools. Designing Advanced Analytics solutions and services in the area(s) of optimization (linear, mixed integer, constraint programming) or simulations, or predictive analytics. Formulating mathematical approaches to solve those problems potentially utilizing ILOG CPLEX, Standard Query Language (SQL), Apache Spark, Statistical Packages Social Sciences(SPSS), Python, R. Using industry technologies, tools and data mining frameworks for data analytics including data visualization for analyzing and drawing conclusions. Communicating the data insights to key stakeholders and get their buy-ins. Integrating the analytics Into existing business work flows. Measuring business outcome (quantitatively and/or qualitatively) on a periodic basis. Developing junior team members and leading project tasks. Maintaining knowledge and understanding of current and emerging trends within the analytics industry. A good level of business acumen and business domain knowledge is highly preferred Required Technical and Professional Expertise A minimum of 0-2 years of experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data Proficient in designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Apache Spark, Statistical Package Social Sciences(SPSS), or R Work experience in building predictive models using various ML algorithms, drawing insights from the model output, communicating the results to key stakeholders, integrating the analytics into existing business workflows and measuring business outcome Expertise in statistical analysis and deploying the results of the analysis Experience in data collection/ data mining/text mining Preferred Technical and Professional Expertise A minimum of 0-3 years experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data Exposure to unstructured data sets and Natural Language Processing Proven Business acumen and business domain knowledge is highly preferred

Title Principal Predictive Modeler/Data Scientist - Insurance Analytics - NJ #2811 Company is seeking a Principal Predictive Modeler / Data Scientist. This is a senior-level technical position. Rapidly growing unit aims to design, create and offer innovative data-driven products to the property and casualty insurance as well as life insurance and parts of the credit industry. You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments while effectively leading complex analytics projects. Independently executes data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Demonstrates to internal and external customers how analysis can be implemented to maximize business strategies including cost benefit analyses. Provides technical sales support, which may include providing strategic consulting, needs assessments and the preparation and presentation of analytical proposals. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations. Verbally presents analysis ideas, progress and results to internal managers, external partners and customers. Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation. Provides high quality ongoing customer and sales support; uncovering opportunities, answering questions, resolving problems and building solutions. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Shares knowledge within the analytics group. Required qualifications: Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Bachelor's degree with CAS Associate or Fellow status or substantial exam progress. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies). 8+ years of relevant work experience including 3 years of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. Proficiency in Microsoft Office (Excel, Word, PowerPoint). Not just software use but proficiency in creating effective and visually appealing PowerPoint presentations, and well-structured error-free and readable spreadsheets. Bottom line requirements we need notes on with candidate submittal: 1. Graduate degree with concentration in a quantitative discipline or Bachelor's degree with CAS Associate or Fellow status. 2. 8+ years of relevant work experience including 3 years of statistical modeling and data mining in a Property and Casualty Insurance context (insurance company or insurance consulting firm). 3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. 4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

The Partner Data Scientist (PDS), Transparency - Governance & Oversight Board, is responsible for leading data-driven governance initiatives, supporting Oversight Board activities, and ensuring Meta's external commitments are met through rigorous analytics, impact assessments, and process improvements. This role partners with Governance, Public Policy, Product, and external stakeholders to deliver actionable insights, validate the impact of recommendations, and proactively address regulatory and compliance risks. Minimum Qualifications * Bachelor's degree in a directly related field, or equivalent practical experience * 5+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools * Demonstrated experience building relationships with peers, stakeholders and collaborating with cross-functional teams across multiple geographies and time zones * Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner * Proven experience in communication and presentation skills, and the ability to clarify and summarize complex issues * Hands-on experience with SQL and/or data science toolkit for development and visualization (e.g. python/R, Tableau, Hive, MySQL, Spark, etc.) * Experience independently structuring and leading projects with cross-functional stakeholders in a highly matrixed organization * Experience independently managing multiple projects simultaneously and working autonomously in a deadline focused ambiguous environment * Experience in communicating effectively with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights * Project management experience, with experience leading and executing multiple time-sensitive projects with partners Preferred Qualifications * BS, MS or MBA in a quantitative or policy/regulatory field preferred * Experience distilling/prioritizing needs of a broad range of stakeholders to inform an action plan * Experience working in policy, policy research, regulatory and compliance etc * Understanding of Account Management and research/analytics best practices * Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving) Responsibilities * Design, execute, and deliver custom Impact Assessments for the Oversight Board, providing data and analysis to validate the impact of Board recommendations and Meta's implementation efforts * Develop and maintain processes for tracking, reporting, and sharing impact metrics with the Board, including both manual and self-serve analyses via Meta Content Library (MCL) and API * Proactively identify and address gaps in data availability, implementation tracking, and accountability for recommendations, ensuring commitments are upheld and communicated transparently * Support regulatory response efforts by ensuring data sharing, reporting, and impact measurement processes meet evolving legal and policy requirements (e.g., DSA 40B) * Run end-to-end dry runs and readiness assessments for regulatory requests, and develop mitigation strategies for ambiguous or high-risk compliance scenarios * Collaborate with Integrity, Policy, and Product teams to align on regulatory priorities and resource allocation * Host workshops, office hours, and educational sessions for researchers, Board members, and external partners to drive adoption and understanding of Meta's transparency tools * Provide white-glove support for Oversight Board and governance stakeholders, including onboarding, troubleshooting, and feedback collection * Communicate findings, risks, and learnings to leadership and cross-functional teams, influencing strategy and resource allocation About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Data Scientist Location: Newark NJ Interview process: Phone and In Person (face to face) Job Descripction As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station. RESPONSIBILITIES • Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques • Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics) • Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language • Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights • Manage project budgets and timelines, ensuring times and on-budget completion QUALIFICATIONS • Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights • Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired • Prior experience with building models, analyzing unstructured data, and/or machine learning • Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization • Master's degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor's degree plus 5 years work experience • Well-developed written and oral communication skills, with ability to present and explain data to business manager • Strong project management skills / experience managing projects, budgets, and schedules to successful completion • Some prior exposure to financial services or insurance industry desired Additional Information All your information will be kept confidential according to EEO guidelines.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Marketing Science team embeds data scientists directly within our media buying and activation operations. You will be at the forefront of creating innovative analytical approaches to analyze and improve media buying strategies and outcomes for our diverse clientele. A key responsibility will be to design, develop, and deploy data-driven applications and tools that empower our media activation teams, streamlining their workflows and enhancing their effectiveness. Furthermore, you will contribute your expertise to our media consulting practice, providing data-backed insights and strategic solutions to external clients. We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative solutions using advanced statistical modeling, machine learning, optimization, and potentially Generative AI techniques. While direct experience in media is a strong plus, a passion for applying cutting-edge data science to solve complex marketing and media challenges is crucial. This role offers a unique opportunity to blend deep analytical skills with practical marketing acumen to drive significant impact. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, using advanced methods to revolutionize media buying and activation. WHAT YOU'LL DO * Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization. * Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI. * Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team. * Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions. * Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations. * Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients. * Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability. * Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain. WHO YOU ARE AND WHAT YOU HAVE * A Bachelors, Masters or PhD in a STEM field, or equivalent practical experience. * Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning. * Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context. * Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable. * Experience utilizing Python and SQL for data manipulation, analysis, and model building. * Experience building data science software, analytical workflows, or data-driven applications. * 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience in data science or analytics. * 1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models. * Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred. Skills, abilities, and knowledge: * Superb communication and presentation skills, with an ability to convey complex technical concepts to non-technical audiences (including media teams and clients). * An ability to translate business challenges from the media buying, activation, and consulting domains into quantitative problems, and solve them effectively using appropriate data science methodologies and tools. * A strong blend of data science expertise and marketing/media acumen * Proven ownership of projects taken from ideation to completion and impact. * A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work. * Experience working collaboratively on a tech team, with familiarity in cloud technologies (e.g., AWS, GCP, Azure), version control (e.g., Git), etc. Competencies: * Ability to prioritize time, work and effort while multitasking on multiple projects. * Desire to mentor and teach others. * Collaborative attitude. * Self motivated and exhibits initiative. * Willing & able to learn quickly. * Abundant intellectual curiosity and integrity. SOME OF OUR PERKS * Unlimited paid time off * 401k with company matching and no vesting period * Annual bonuses * Generous medical plan * Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K-$130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Primary Purpose The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency. Key Responsibilities * Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others. * Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms. * Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models. * Scale forecasting methodology and drive increased accuracy and flexibility. * Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity. * Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models. * Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs. * Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. * Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility. * Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies. Qualifications * Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred). * 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role. * Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn). * Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures. * Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance. * Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders. * Proven ability to thrive in fast-paced, cross-functional environments. * Ability to work with ambiguity and prioritize requests and multiple stakeholders. * Knowledge of retail operations, merchandising, and supply chain processes is a plus. Our Competencies for All Employees * Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. * Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. * Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. * Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. * Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. * Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. * Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers * Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. * Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. * Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Americans with Disabilities Act (ADA) Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at ************** or ****************************** Visit Tapestry, Inc. at ************************ Work Setup: HYBRID #LI-HYBRID BASE PAY RANGE $130,000.00 TO $145,000.00 Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits. Req ID: 121007

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In's 2024 & 2025 Best Startups to Work For In the U.S. * Built In's 2023 - 2025 Best Startups to Work For In New York City * Fast Company's Most Innovative Companies of 2022 * Business Insider's Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: At Brigit, our Data Science team has been dramatically scaling their impact. We're aiming to integrate new models across several product domains over the next year and we continue to iterate and optimize in the areas of credit risk and payments where we already have models deployed. Doing this will require our team to grow, but also will require a more concerted effort in planning and integrating with product teams, understanding their roadmap, and exploring projects that make sense in the context of this. To support this growth, we'd like to hire a motivated Head of Data Science to grow and lead this team to its maximum potential. What you'll be doing: * Managing and growing a team of (currently 4) data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry standard techniques. * Evangelizing the data science team's capabilities and integrating with product, engineering and operation teams in order to build a roadmap and backlog of data science solutions with business impact. * Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction. * Working closely with our Modeling Engineering team (currently 1) to optimize and improve our infrastructure for model research, development and deployment. What you have: * 2+ years of Data Science management with a team of >3 * 5+ years of modeling/data science experience overall * 2+ years of experience at a consumer product company * Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.) * Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial. * A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred * Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders * A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes The anticipated annual base salary for this position is $225,000 - $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com. Disclosures: * For information on our data privacy policies, see the Brigit California Personnel Privacy Policy. * Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.