Captions is the AI-powered creative studio. Millions of creators around the world have used Captions to make their video content stand out from the pack and we're on a mission to empower the next billion. Based in NYC, we are a team of ambitious, experienced, and devoted engineers, designers, and marketers. You'll be joining an early team where you'll have an outsized impact on both the product and company's culture. We're very fortunate to have some the best investors and entrepreneurs backing us, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, Lenny Rachitsky, and more. Check out our latest milestone and our recent feature on the TODAY show and the New York Times. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) ** About the Role: Captions is seeking a manager to lead our data science team. As the Data Science Manager, you will lead a team of data scientists in developing and refining the way we measure our product and overall business. You will work closely with product teams to ensure that Captions delivers the best possible experience for our users around the globe. Your responsibilities will include: <ul><li>Leading a team of Data Scientists that run experiments across the product and experience.</li><li>Driving strategic insights to inform product direction and improve user experience(s).</li><li>Providing technical leadership and building processes to support the growth and efficiency of the data science team.</li><li>Partnering with engineering teams to build robust data infrastructure.</li></ul> Qualifications: <ul><li>1+ years of experience managing a team of data scientists.</li><li>6+ years of experience in Data Science, with a focus on product experience.</li><li>Deep understanding of, and hands-on experience, with complex A/B experimentation within a consumer product organization.</li><li>Experience working with and understanding consumer subscription lifecycle and over business model.</li><li>Experience and familiarity with data pipelines and large-scale data processing.</li><li>Excellent communication skills, with the ability to present complex findings to non-technical audiences and influence strategic decisions.</li></ul>Benefits: <ul><li>Comprehensive medical, dental, and vision plans</li><li>Anything you need to do your best work</li><li>We've done team off-sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future.</li></ul> 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.

<h3>Job Description</h3><div>Job Description<div>Captions is the AI-powered creative studio. Millions of creators around the world have used Captions to make their video content stand out from the pack and we're on a mission to empower the next billion. Based in NYC, we are a team of ambitious, experienced, and devoted engineers, designers, and marketers. You'll be joining an early team where you'll have an outsized impact on both the product and company's culture.We’re very fortunate to have some the best investors and entrepreneurs backing us, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, Lenny Rachitsky, and more.Check out our latest milestone and our recent feature on the TODAY show and the New York Times. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) ** About the Role:Captions is seeking a manager to lead our data science team. As the Data Science Manager, you will lead a team of data scientists in developing and refining the way we measure our product and overall business. You will work closely with product teams to ensure that Captions delivers the best possible experience for our users around the globe. Your responsibilities will include:<ul><li>Leading a team of Data Scientists that run experiments across the product and experience. </li><li>Driving strategic insights to inform product direction and improve user experience(s).</li><li>Providing technical leadership and building processes to support the growth and efficiency of the data science team.</li><li>Partnering with engineering teams to build robust data infrastructure.</li></ul>Qualifications:<ul><li>1+ years of experience managing a team of data scientists.</li><li>6+ years of experience in Data Science, with a focus on product experience. </li><li>Deep understanding of, and hands-on experience, with complex A/B experimentation within a consumer product organization.</li><li>Experience working with and understanding consumer subscription lifecycle and over business model.</li><li>Experience and familiarity with data pipelines and large-scale data processing.</li><li>Excellent communication skills, with the ability to present complex findings to non-technical audiences and influence strategic decisions.</li></ul>Benefits:<ul><li>Comprehensive medical, dental, and vision plans</li><li>Anything you need to do your best work </li><li>We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future.</li></ul>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.Compensation Range: $180K - $240K</div></div>

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

The Decisions Alliance's goal is to enable HelloFresh to build a rapid feedback loop around understanding our customers, finding the best way to communicate with them and utilizing AI/ML capabilities. We're responsible for the company's Communications, Customer Data, Experimentation, and MLOps Platforms. Our team works on a variety of technologies ranging from high throughout, real-time communications systems to deep statistical libraries to large-scale machine learning training pipelines. The role We are hiring a Data Science Manager to lead the development of innovative data science applications. Our vision is to build a world-class team dedicated to developing our Marketing facing machine learning products. As a Data Science Manager, you'll lead a cross functional team of data scientists, machine learning engineers and data engineers who work together to build innovative data products in an agile, highly collaborative environment. You will have the opportunity to hire the technical resources, create and own the vision for machine learning applied to billions of dollars of marketing spend, and make applications of new technologies for AI & ML a reality. What you'll do: <ul><li>Manage and mentor a team of data scientists, data engineers, and machine learning engineers within our Global ML & AI team</li><li>Improve, deploy and maintain our existing lifetime value models, which are used to steer billions of dollars of marketing spend.</li><li>Translate business needs into clearly scoped data science projects, and take a hands-on approach to steer solution design and implementation</li><li>Steer the work of the team with a results-focused approach to prioritization, while maintaining a balance of velocity and quality.</li><li>Lead hiring for the team </li><li>Stay up-to-date with industry trends and best practices in data science and share insights with the team</li></ul>What you'll bring: <ul><li>A degree (Ph.D., MSc, BSc) in a quantitative field such as Physics, Statistics, Mathematics, Operations Research, Econometrics, Computer Science, Engineering or related</li><li>Strong, proven track record solving complex business problems with machine learning within a fast-paced business</li><li>Formal or informal experience managing and developing a team focused on developing machine learning solutions</li><li>Experience in solving machine learning problems with modern machine learning software stack (Python, Tensorflow, Pytorch, Spark) as well as modern machine learning algorithm stack (Transformers, Graph Neural Networks, boosted decision trees, GenAI, statistical inference)</li><li>Familiarity with cloud development environments (AWS, Azure, GCP)</li><li>Solid grasp of advanced statistical concepts (e.g., Bayesian statistics; multilevel and generalized linear models; timeseries; bootstrapping)</li><li>Experience with agile methodologies like Scrum & Kanban and proficiency in using project management tools</li></ul>What we offer <ul><li>Competitive Salary & 401k company match that vests immediately upon participation</li><li>Generous parental leave of 16 weeks & PTO policy</li><li>$0 monthly premium and other flexible health plans effective first day of employment</li><li>75% discount on your subscription to HelloFresh (as well as other product initiatives)</li><li>Snacks, cold brew on tap & monthly catered lunches</li><li>Company-sponsored outings & Employee Resource Groups</li><li>Collaborative, dynamic work environment within a fast-paced, mission-driven company</li></ul>Are you up for the challenge? Please submit your complete application below including your salary expectations and earliest starting date. After submitting an application our team will review this and get back to you within 5 business days. For insight into our interview process take a look at our recent post here. #Decisions New York Pay Range $160,000-$210,000 USD

Our mission at Duolingo is to develop the best education in the world and make it universally available. But we've got more left to do - and that's where you come in! Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills. We're looking for an outstanding people leader in data science focusing on monetization and pricing. The ideal candidate will set strategic direction and lead a multi-disciplinary team of data scientists, own IC contributions of their own, and collaborate closely with company leadership to develop and deliver metrics, attribution models, and actionable business analyses. They will evangelize scientific methods and influence strategic business decisions, with an appreciation for the behaviors of Duolingo users. They will be a strong advocate and mentor for the Data Science & Analytics team and help advance their learning, creativity, and growth. We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with thoughtful peers. Come brighten your life and over half a billion more! What You'll Do... <ul><li>Lead a team of data scientists in monetization and pricing, and lead the cycle of translating ideas from concept to production-grade models and data science solutions, ensuring long-term viability and robustness.</li><li>Guide the team to apply advanced analytical methods, structural approaches, causal inference, and/or machine learning to model user behavior, and collaborate with product and engineering teams to develop scalable business frameworks and solutions.</li><li>Provide guidance and mentorship to junior staff and peers in the Data Science & Analytics function more broadly, fostering an environment of excellence, innovation, and collaboration.</li><li>Understand and lead the team in the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).</li><li>Build collaboration with data engineers and business intelligence to help the team turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards).</li><li>Effectively communicate findings and insights to executive partners and collaborate with product development teams to integrate them into decision-making.</li><li>Stay informed about advancements in data science and statistical methodologies to drive enhancements in internal tooling and methods at Duolingo.</li></ul> What We're Looking For... <ul><li>Graduate degree in Data Science, Statistics, Economics, or a related field with 8+ years of relevant work experience; Or 10+ years of experience leading impactful teams and using analytics to solve product or business problems.</li><li>Experience coding (e.g., Python, R, SQL), querying databases, and statistical modeling.</li><li>Exceptional problem-solving abilities and the capacity to translate complex data into actionable insights.</li><li>Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners.</li><li>Able to relocate to or work in our New York or Pittsburgh office.</li></ul> Exceptional Candidates... <ul><li>Strong experience in developing and implementing an analytic vision to solve business-relevant problems, as well as motivating and leading teams to successful implementation.</li><li>Ability to lead multiple complex work streams and develop partnerships across organizational boundaries.</li><li>Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery.</li><li>Effective storytelling ability with experience leading business conversations with senior leadership.</li><li>Experience at a high-growth company that has undertaken an IPO.</li><li>An impressive Duolingo XP or streak!</li></ul> Why you'll love working here... <ul><li>Generous PTO and company holidays</li><li>High quality medical, dental, and vision care</li><li>Comprehensive mental health, backup care, and family forming support</li><li>Paid parental leave for birthing and non-birthing parents</li><li>Language learning opportunities</li><li>Catered in-house lunches and breakfast</li><li>Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!</li></ul> We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo's world-class benefits. The starting base salary range for this role is, $169,700 - $314,100. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Take a peek at how we care for our employees' holistic well-being with our benefits here. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada and Scotland. Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, 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 ROSTER At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We're dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does "winning" look like at FanDuel? It's recognition for your hard-earned results, a culture that brings out your best work-and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we'll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of "We Are One Team" runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. THE POSITIONOur roster has an opening with your name on it FanDuel is looking for a data science manager to lead the team developing and evolving our internal Marketing Mix Model. You will help manage the roadmap and evolve our current model to help deliver actionable insights driving business KPIs. You will manage a group of data scientists and analysts to continually evolve the various tools, models, and data visualizations, in order to drive better decision making in our marketing team. THE GAME PLAN Everyone on our team has a part to play <ul><li>Lead the Marketing Mix Model team to ensure models and outputs are evolving with our business</li><li>Optimize, scale and improve the existing MMM to increase relevance and actionability of the results provided</li><li>Work with the MMM team to produce specific insights around the impact of past and future media investment</li><li>Help create, modify and evolve timeseries models and forecast to quantify the real word impact of marketing tactics on commercial KPIs</li><li>Lead projects from start to finish, maintain a roadmap, set proper expectations, and communicate timely and adequately with the marketing stakeholders, while also managing internal partners on data delivery and process improvements</li><li>Improve and strengthen existing data pipelines, while also scaling and building out pipelines for future marketing data sources</li><li>Create and maintain automated reporting processes for visibility and self-service for marketing and group-wide teams </li><li>Own presentations to senior stakeholders, focusing on results and impactful actionable insights, adjusting the communication style to the audience</li></ul> THE STATS What we're looking for in our next teammate <ul><li>5+ years of experience in Data Science (hands-on experience with MMMs strongly recommended)</li><li>Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data and/or business analysis </li><li>Hands on experience working with MMMs with an understanding of the technical elements required in building and maintaining forecasts and advanced models preferred </li><li>Experience using simulations for scenario analysis and recommendations </li><li>Experience delivering model result to business users and have recommendation implemented </li><li>Proficiency in SQL and Python or R required </li><li>Can write production level code, understand principles of programming preferred </li><li>Experience with techstacks such as MLFlow, Spark, Databricks, Sagemaker preferred </li><li>Experience working in groups and being part of smaller intra year projects </li><li>Interest in Sports and/or Sports Gaming preferred </li></ul> PLAYER BENEFITS We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: <ul><li>An exciting and fun environment committed to driving real growth</li><li>Opportunities to build really cool products that fans love</li><li>Mentorship and professional development resources to help you refine your game</li><li>Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another </li></ul> FanDuel is an equal opportunities employer and we believe, as one of our principal states, "We Are One Team!" 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. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team! The applicable salary range for this position is $135,000 - $180,000, 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

Data Science Manager Jobs in New York, NY

Data Science Manager
April 28, 2024

Data Science Manager
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Data Science Manager Analytics
April 24, 2024

Data Science Manager
April 23, 2024

Senior Data Science Manager
April 21, 2024

Senior Data Science Manager
April 20, 2024

Data Science Manager Analytics
April 17, 2024

Data Science Manager
April 11, 2024

Data Science Manager Marketing Mix Model
April 8, 2024

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Data Science Manager Jobs in New York, NY

Data Science ManagerApril 28, 2024

Data Science ManagerApril 26, 2024

Data Science Manager AnalyticsApril 24, 2024

Data Science ManagerApril 23, 2024

Senior Data Science ManagerApril 21, 2024

Senior Data Science ManagerApril 20, 2024

Data Science Manager AnalyticsApril 17, 2024

Data Science ManagerApril 11, 2024

Data Science Manager Marketing Mix ModelApril 8, 2024