Data scientist jobs in Wall, NJ

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.

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used. You've worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You'll build the foundations for successful, impactful solutions by: * Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed. * Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. * Taking full responsibility for the quality, accuracy and impact of your work. * Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments. * Working closely with simulation engineers to ensure seamless integration of data science models with simulations. * Contributing to internal R&D and product development, helping to refine models and identify new areas of application. * Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. * There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you're driven by taking ownership of more complex projects and leading the direction of future solutions. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey! What we offer * Equity options - share in our success and growth. * 5% 401(k) match - invest in your future. * Flexible working - balance your work and life in a way that works for you. * Hybrid setup - enjoy our Manhattan office while keeping remote flexibility. * Enhanced parental leave - support for life's biggest milestones. * Private healthcare - comprehensive coverage for you and your family. * Personal development - access learning and training to help you grow. * Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply. Salary Range $120,000 - 240,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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 (**************************************** .

:" ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. 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, Canada, 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). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Lead Data Scientist who specializes in customer behavior modeling and personalization to join our team. In this role you will develop and implement advanced recommendation and ranking models that power personalized Sportsbook and Casino experiences, and build a deep understanding of customer behavior through the marketing, product, and analytics lens. This role requires a strong background in data science, modern deep learning, and large-scale customer analytics. You will own open-ended, ambiguous problems end-to-end-from ideation and problem formulation, through model research and offline evaluation, to partnering with ML Engineering on production deployment and post-launch iteration. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play * Develop and deploy large-scale recommendation, retrieval, and ranking models (e.g., deep learning with embeddings and transformers) to drive personalized Sportsbook and Casino experiences across business units. * Define and evolve the technical architecture for modern personalization systems (feature pipelines, candidate generation, ranking, feedback loops), partnering closely with ML Engineers and Data Engineering. * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization THE STATS What we're looking for in our next teammate * Bachelor's degree in a highly numerate field (Computer Science, Mathematics, Statistics, Engineering, Economics, or related). MS or PhD in a relevant field strongly preferred: * PhD candidates: demonstrated research in deep neural networks (e.g., representation learning, sequence modeling, transformers) and applications to recommendation / ranking or related problems. * MS candidates: substantial industry experience working with Engineering and Product to design, ship, and iterate on machine-learning-powered products. * 7+ years of applied data science experience (or equivalent research/industry combination) creating and deploying models in production environments. * Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models * Strong practical experience with modern deep learning for personalization, including embeddings, sequence models, and transformers (experience with CNNs or other neural architectures is a plus). * Experience in experimentation to validate models' impact and ability to quantify that impact * Experience using user behavioral, promotional and marketing data in model building * Proficiency in SQL and Python * Experience with tech stacks such as MLFlow, Spark, and Databricks * Can write production level code, understand principles of programming * Comfortable with ambiguity and complexity * Interest in Sports and/or Sports Gaming preferred 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 any 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 $170,000 - $223,650 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid "}

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon's deep real-world experience applying ML to financial markets. We are looking for an entrepreneurial Data Scientist to build out the data analysis frameworks for our business. You will be responsible for harvesting insights from a complex array of data, like digging into complexmarket microstructure and deep dive analysis of our live algorithmic trading strategies. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities * Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds * Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders * Perform extemporaneous analyses on research and production trading systems with leadership * Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems * Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements * 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization * Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions * Ability to frame and answer questions mathematically * Ability to infer useful forward-looking directions from results of retrospective analysis * Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R * Basic software development skills and experience with bash, linux/unix, and git * Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication * Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred * Master's degree in a quantitative discipline * Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships * Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow Compensation The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and 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, productionalization and 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, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or 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 and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with 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 * Masters degree 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. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Title: Data Scientist M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. M Science is revolutionizing research, discovering new data sets, and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data, and technology to create a truly unique value proposition for both financial services firms and major corporations. Job Overview: We are seeking a highly skilled Data Scientist to design and develop pipelines and AI/ML models and workflows on our 50+ alternative data panels. The ideal candidate will have deep expertise in mathematical and statistical modeling, and will have built models with Python, SQL, and PySpark. This person will test new data assets for the firm, develop AI/LLM tools and agents, contribute to the firm's analytics library, and use traditional machine learning and statistical methods to improve panel data. M Science expects its data scientists to implement production code, so the ideal candidate will have experience writing well tested, performant, object-oriented code. Responsibilities: * Develop agentic workflows for automated insight retrieval, data analysis, data download, and data forecasting * Contribute to the firm's documented, unit-tested analytics library * Process, cleanse, and verify the integrity of data used for analysis * Create automated alerting and notification systems for deviations in data quality, validation failures, or unusual patterns * Evaluate new datasets for the firm * Design, develop, and optimize scalable and fault-tolerant data ingestion pipelines using Databricks, Airflow, Python, and Spark * Build resilient data pipelines that handle vendor-related issues such as delayed deliveries, schema changes, incomplete records, and data corruption Qualifications: * Advanced Python for data processing, scripting, and automation * Fluency in PySpark/Spark and distributed data processing; pandas, dask, daft, polars also a plus * Excellent knowledge of multivariate statistical analysis, including but not limited to ordinary least squares, principal component analysis, factor analysis, LDA, and panel methods * Excellent knowledge of other ML methods including additive modeling and ensemble modeling * Some knowledge of LLMs and common LLM orchestration frameworks like LangChain and LangGraph * Experience with named entity resolution methods a strong plus * Familiarity with cloud data platforms (AWS) and cloud-based storage solutions * Strong troubleshooting skills to diagnose and resolve performance bottlenecks in data pipelines Primary Location: New York, NY Salary Range: $90,000-$175,000 USD/Annual The salary offered will take into consideration an individual's experience level and qualifications. In addition to salary, M Science offers, for eligible employees, an annual discretionary incentive bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, disability insurance; and wellness programs. M Science also offers paid time off packages that include planned time off (vacation), unplanned time off (sick leave), paid holidays and paid parental leave.

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.

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.

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 seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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.

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

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 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

Job Type: Permanent - Full Time Job Category: Data Science Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data analytics and AI. Quantium partners with the world's largest corporations to forge a better, more intelligent world. As a Data Scientist in our US team, you'll be at the forefront of delivering cutting-edge data science solutions that drive measurable business value for our clients. This role combines strong technical analytical capabilities with client-facing skills, requiring an AI-native mindset to translate complex business problems into actionable insights and data-driven recommendations. You'll work directly with clients to understand their challenges, develop innovative analytical approaches leveraging both traditional analytics and generative AI technologies, and communicate findings in compelling and accessible ways. Please note, this role requires current US work authorisation. Quantium is unable to provide visa sponsorship or transfers for this position. How will you make an impact? * Client solutions: Deliver high-quality data science projects that address specific business challenges and drive measurable outcomes for our diverse client portfolio * AI innovation: Explore and apply emerging AI technologies including large language models, computer vision, and other generative AI applications to create innovative client solutions * Technical excellence: Develop and implement statistical models, machine learning algorithms, and AI solutions using AI-assisted development approaches * Trusted advisor: Build trusted relationships with client stakeholders through professional service delivery and proactive communication * Continuous learning: Stay current with the latest developments in AI and data science, demonstrating curiosity and initiative in exploring new technologies Please note, this position does not include visa sponsorship. The superpowers you'll be bringing to the team: * Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or related quantitative field * 1-3 years of experience in data science or analytics, with strong skills in Python, R, or SQL and cloud-based analytics platforms * Experience using AI tools (ChatGPT, Claude, GitHub Copilot) in any capacity - whether through professional work, personal projects, or self-directed learning * Enthusiasm for exploring large language models and AI development frameworks, with any level of hands-on experience welcomed * Comfortable in client-facing roles with ability to translate technical findings to non-technical audiences * Excellent communication skills and ability to work effectively in fast-paced, dynamic environments Remember - you might not tick all the boxes, but don't let that stop you from applying. We're more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigour, precision and by asking great questions - it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, you'll get to: * Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. * Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). * Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: * Hybrid working: Work flexibly with 3 days in our office or client site and 2 days from home, balancing collaboration with focused work time * Medical, dental, vision and life insurance coverage: Comprehensive health benefits to keep you and your family covered * Retirement 401(k) plan with 6% employer contribution: We invest in your future with competitive retirement benefits * Base salary range: $90,000 - $120,000 annually, based on demonstrated capabilities, relevant experience, and expected impact in the role * Annual bonus scheme: Competitive remuneration with attractive annual bonus opportunities Are you ready to tackle some of the most interesting data science challenges in the industry? Join us in New York and help our clients unlock the full potential of their data. Apply now to start the conversation. Quantium's recruitment process involves the collection and use of personal information. Please click on the link "Privacy" for Quantium's Collection Notice. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited. Quantium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You'll uncover user behavior patterns, operational performance insights, and commercial opportunities - all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we're making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do Product & Customer Analytics You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. You'll identify friction points and areas of opportunity across key user journeys. You'll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. Reporting & Visualization You'll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. Data Infrastructure & Collaboration You'll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. You'll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization. What We're Looking For You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. You hold at least a Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. You're familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. You're familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. You know how to break down complex business problems into structured analyses. You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. You can clearly communicate findings-both in writing and verbally-to technical and non-technical stakeholders alike. Nice to have: You've worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers. What you'll get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work EnvironmentThis role is 3 days a week (Tues - Thursday) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions. Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at ***************. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors-including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem. This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling's finances and essential for the correct functioning of product systems. What you will do * Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform. * Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business. * Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies. * React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters. * Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools. * Develop and maintain comprehensive documentation of reconciliation processes and procedures. * Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting. * Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. What you will need * Master's degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields. * 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting. * Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster). * Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment). * Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines. * Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences. * Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization. * Bonus points if you have experience with general accounting principles, with the general ledger close process, and regulatory compliance. Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email ************************** Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below.