Data scientist jobs in Upper Montclair, NJ

Job Description Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation Develop and maintain analytical models and reproducible pipelines that support full funnel analytics Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk Create executive ready visualizations and dashboards that drive alignment and action among stakeholders Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle Provide recommendations to improve user experience and conversion and overall product performance and track realized impact Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: 5+ years as a data scientist or in a similar role with a focus on product analytics High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Why be with company? We all know what a great neighborhood feels like. The sad reality is that every day, our neighborhoods are losing their character, authenticity, and sense of community. From Main Streets to Manhattan, our beloved local businesses are being pushed out at unprecedented rates, replaced with corporate brands or empty storefronts. America is losing its small business backbone - its diversity, energy, and competitive edge. All while there is a generational opportunity in commercial real estate directly ahead of us. We've been quietly and deliberately building withco to empower millions of small businesses to seize their opportunity to become their own landlords. And if we're successful, we'll have created not only the most financially impactful company of its time, but also neighborhoods that we're proud to live in. Join our mission to make it exciting to be a small business owner in America. We've raised $30M+ from the world's best investors, including Founders Fund, Canaan, NFX, BoxGroup, and angels like Ken Chenault, Danny Meyer, Venus Williams, Kevin Durant, and more. Why we need you: Small businesses have been crushed by landlords and big businesses armed with superior data. That ends now. Your mission? Build the system that levels the playing field - arming America's grittiest entrepreneurs with the data, insights, and strategies to not just compete but dominate. You'll work closely with our engineering and investing teams to build robust models that arm small businesses with a data advantage. What you'll do: * Supercharge the experience. Leverage 1st and 3rd party real estate and business data to build analyses and models that enable small business owners to make the smartest real estate decisions possible. * Play data offense. Find holes in our existing data and source data from novel sources to enhance our view of the commercial real estate and small business landscape. * Own data analytics and reporting. Take charge of our data analytics and modeling and ensure they are ready to be productized. What makes you a great fit: * Data obsessed. You can take data from many sources and turn it into gold that can bee built into our search and recommendation engines. * Technically brilliant. Peers see you as as one of the most technically talented data scientists they've worked with. * Analytics pro. You have experience working with data science tooling and know the right metrics to characterize any kind of distribution. Our Culture While small business is for everyone, withco's culture is not for everyone. In fact, it's for a very, very, very small group. What makes our culture so special is how much we value accountability and clarity in how we work and curiosity and obsession in how we build. We have a disproportionate number of craftspeople, athletes, ex-founders, PhDs and scientists. Our Benefits We're building withco to create generational wealth not only for small business builders, but also our team of builders. We endeavor to make this the most meaningful career experience of your life. In addition, we offer: * Base salary $150-$220K + meaningful stock options * Eligibility for carried interest in our real estate vehicles * 100% company-paid medical, dental, and vision insurance * A beautiful office in SoHo * Unlimited PTO and WFH * Paid parental leave * 401(k), FSA/HSA, and commuter benefits * Weekly team lunch and regular team events, always at a small business We're proud to be an equal opportunity employer. We care about building a uniquely diverse, energetic, inclusive, and service-oriented team - one that understands, cares about, and represents the different small business communities we aim to serve.

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance - e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates. Design scalable data pipelines that ingest, clean, and enrich healthcare provider data. Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions. What you will bring to the team: 2-5 years professional experience in data science, product analytics, and/or healthcare. A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders. Strong Python and SQL skills. A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success. Experience working in a rapidly evolving startup environment. A desire to be a part of our mission to improve the U.S. healthcare system. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use: Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform Compensation Transparency: The target salary range for this position is $160,000 - $185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to *********************************. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at ********************.

Company - Tidal Wave Staffing LLC Req # : 126 | Type: Full Time | Posted: 11/25/2014 | Edited: N/A | Fee: 20.00% Percentage Computed On Base Salary 50/50 Split Salary: $130,000 to $180,000 Target : $na Yes Sponsor/Transer H-1B or H-2 Yes Sponsor/Transfer work permits Travel: 0% Bonus: 0% Honor Period - 3 months Job Description We are currently looking for customer facing Data Scientists to: • Design and deploy data mining algorithms and solutions to address business problems with specific focus on the advertising domain. • Perform in depth statistical analysis and assist with BI insights, reports and data visualization. Skills and Experience Required: • Proven track record of developing machine learning and data mining algorithms that solve real life big-data problems (internet advertising domain expertise preferred) • Experience with large scale distributed data processing • 3+ years experience in successfully shipping products/solutions • Ability to attack challenging business problems in areas including: user intent mining, targeting, and revenue optimization • Fluency in programming: C/C++/Java, scripting languages like Perl/Python, and SQL • Expertise in statistical analysis / data mining tools such as SAS/R/Weka etc. • Knowledge and experience developing solutions for distributed and parallel systems. • Strong communication and collaboration skills Education: • BS (with experience) or MS in computer science, applied statistics, mathematics, physics or equivalent (Ph.D. preferred) Additional Information All your information will be kept confidential according to EEO guidelines.

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

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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 250+ 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 top ten status on The Agency A-List for 2024 & 2025, and as Ad Age's Data & Insights Agency of the year for a record third 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, Effies, Cannes Lions Awards, ProMax Agency of the Year, Fast Company's World Changing Ideas, Digiday's 2025 Best AI Platform 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 Channel Data Science team is a group of data scientists embedded in our media buying practice to translate the domain knowledge we gain from running media for our clients to smart tools that push the limits of advanced advertising. Our work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions - all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting 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 tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting-edge AI to marketing challenges is crucial. A significant focus of this role will be to champion and implement Generative AI initiatives. 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, particularly those harnessing the power of LLMs. WHAT YOU'LL DO * Explore, develop, and deploy Generative AI (specifically LLM-based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights * Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine-tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known's clients * Work with other data scientists and engineers to productionalize new tools, including GenAI-powered applications * Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain WHO YOU ARE AND WHAT YOU HAVE * A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred * Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning * Proven experience in developing and deploying solutions using Generative AI, particularly text-based Large Language Models (e.g., experience with APIs like OpenAI's, or open-source models) * Experience utilizing Python and SQL * Experience building data science software or analytical workflows * Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain * 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience * 1+ years of experience building data science software, ideally including applications leveraging AI/ML models * Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred Skills, abilities, and knowledge * Superb communication and presentation skills * An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning * Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies * Proven ownership of projects taken to completion * A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work * Experience working on a tech team, with experience in cloud technologies, version control, etc * Experience in advertising or advertising technology is a plus 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: Data Scientist: $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-DNI

As a Data Scientist you will be collaborating across the organization, focusing on the data collection from land-based, web-based, social media, and mobile platforms, as well as the CRM practice. Working on a wide variety of initiatives, you will analyze massive amounts of data captured daily, and will build reporting solutions and develop visualizations to enable decision-making. The Data Scientist will be responsible for a wide variety of technology-driven, data-centric practices, including: Implementation and maintenance of analytics algorithms in a production setting. Development and implementation of analytics reporting and visualization dashboards. Development and support of database applications. Qualifications Requirements: Distinguished academic record, Bachelor's degree, Strong mathematical background. Knowledge of statistics. 2-5 years of actual Data Scientist experience. SQL experience: should have exposure to one of MySQL, Oracle, Hive, Shark, Presto. Programming: well versed in one of the following programming languages: Python, R, Ruby, Java, C++. Data Visualization on the web. Frontend, Visualization, JavaScript, D3, Dygraphs, Google Charts. Also Helpful (NOT Required): Experience with NoSQL (such as MongoDB, Hadoop) Additional Information All your information will be kept confidential according to EEO guidelines.

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 seeking an entrepreneurial Technical Lead in Data Science who is excited to get in on the ground floor of a growing securities business. Data is at the heart of everything we do-from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master's degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. “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 $15,000 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 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. 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.

Fitch Group is currently seeking a principal data scientist, Director for its Emerging Technology AI Center of excellence (COE) group based out of our NY office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: ******************************************************** About the Team The Fitch Group Emerging technology AI Center of excellence (COE) group will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position could be based out of our Chicago or NY offices. Specific Emerging Technology team objectives are: Data Science and Gen AI/ML technology implementation with business and product owners Lead and support other enterprise-level AI exploration tools and capabilities Provide guidance and support for safe development and deployment of AI How You'll Make an Impact: Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members. Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models. Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows. Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals. Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization. Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development. Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge. You May be a Good Fit if: Ph.D. or master's degree in computer science, Data Science, Machine Learning, or a related field. A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models. Proven track record of developing and deploying successful deep learning and NLP models in real-world applications. Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar. Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar. Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc. Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment. Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc. What Would Make You Stand Out: Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment Familiarity with credit ratings agencies, regulations, and data products around the world Outstanding written and verbal communication skills A champion of good code quality and Data science practices. Strong interpersonal skills and ability to work proactively and as a team player Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK AND CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 170,000 and 200,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

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 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.

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

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

At PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole. PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a robust analytical skill set, experience with machine learning algorithms, and the ability to derive insights from complex data sets. Additionally, you should be comfortable writing code, preferably with Node.js, and have familiarity with the Amazon AWS technology stack. This role involves working closely with our product teams, as well as offshore teams, to provide data-driven insights that will influence the direction of our SaaS products. Excellent collaboration and communication skills are required, as well as the ability to operate effectively within various time zones.Key Responsibilities Leverage large and complex datasets to explore, discover, and identify patterns, trends, and insights that can influence strategic business decisions. Develop, validate, and deploy predictive models and machine learning algorithms to solve business problems. Write code to automate data processing and aggregation tasks. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Present findings in a clear and easily understandable way to non-technical stakeholders. Work closely with both onshore and offshore teams to deliver data-driven projects on time and to specification. Continuously learn new technologies and stay up-to-date with the latest industry trends in data science. Qualifications 4+ years of experience as a Data Scientist or in a related role. Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience in data mining, statistical modeling, and data visualization tools. Proficiency in programming languages such as Python, R, SQL, and Node.js. Experience working with Amazon AWS technology stack. Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You'll be surrounded by those that inspire you to bring your best self to work each day. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Product Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You'll Love Working at Bask Health Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making. Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy. Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement. Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare. Requirements Educational Background Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degrees (e.g., Master's or PhD) in relevant disciplines are a plus. Experience 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights. Experience working with cross-functional teams, including product managers, engineers, and designers. Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory. Technical Skills Experts in programming languages such as Python & SQL for data manipulation and analysis. Strong experience with data visualization tools (e.g., Tableau, Looker, or similar). Experience with Alteryx (1+ Year) Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation. Experience with A/B testing and designing experiments. Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus. Analytical Skills Ability to extract actionable insights from complex datasets. Strong problem-solving skills and a keen sense of curiosity. Experience applying machine learning techniques is a plus. Soft Skills Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders. Strong project management skills, with the ability to prioritize tasks and meet deadlines. Collaborative and proactive mindset.