Data scientist jobs in Red Bank, NJ

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.

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

:" 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 "}

Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies. You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates. Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures. Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues. Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production. Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements. Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results. Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics - specific experience with real assets a plus! Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models Strong programming skills in Python (or R or Julia) and SQL Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.) Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) - and associated ML platforms (e.g., SageMaker, Vertex) Working knowledge bringing models to production Experience with data modeling, data warehousing, and ELT processes Strong analytical, strategic thinking, and problem-solving skills. Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus. Domain Expertise: Experience with the analysis or application of data in finance or economics - specific experience with real assets a plus Education: Strong academic record and a bachelor's or higher degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science). An individual who loves working with deep and complex financial problems and wants to have an outsized impact with the products and solutions they deliver. An individual with a passion for data science, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged investment environment. Successful candidates are: Analytic and relentless in pursuit of the right answer Strong communicators who excel at rapid synthesis Able to demonstrate sound business judgment Able to digest complexity while maintaining an understanding of the “big picture” of business needs Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

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.

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.

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.

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

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will strive to build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Preferred Qualifications * Experience in collaborating with individuals and organizations * Experience working with large scale dataset * Internship experience in solving analytical problems using quantitative approaches Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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

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

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

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.

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

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.

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.