Senior Data Scientist - Predictive Analytics

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis

Join our dynamic team at Suno as a Senior Data Scientist specializing in Content and Social Media. We are seeking an innovative professional who is passionate about leveraging data to create impactful strategies that drive engagement and growth across various social platforms. Your expertise will be instrumental in analyzing trends, developing models, and optimizing content strategies to enhance user experience.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing how individuals interact with personal finance. As a forward-thinking financial services company and national bank, we utilize innovative, mobile-first technology to empower millions of members to achieve their financial goals. The finance industry is undergoing a significant transformation, and we are leading the charge. Every day, we come to work with the knowledge that our efforts have a tangible impact on people's lives, guided by our core values. Become part of our mission to invest in yourself, your career, and the financial landscape.Your RoleThe Borrow Data Science team is on the lookout for a Senior Data Scientist who will play a crucial role in driving growth across our Lending sectors by converting raw data into actionable insights that fuel our success. This position is perfect for an inquisitive data scientist who is driven to discover insights in advance of requests.To excel in this role, you must function as a strategic partner; you are more than just a technical executor—you are an analytical storyteller who bridges the gap between intricate data and business strategy. You will leverage technical skills in SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, while your true influence will manifest through leading cross-functional initiatives and advocating for data-driven decisions that shape the product roadmap.Key ResponsibilitiesProactive Insight Generation: Harness your curiosity to explore data deeply, uncovering trends and opportunities that may be overlooked, and share these findings proactively with leadership.AI Innovation: Serve as a catalyst for AI integration within the team. Identify and implement AI tools and workflows that enhance data engineering tasks, expedite analysis, and drive substantial business results.Analytical Storytelling: Transform complex quantitative analyses into clear, convincing narratives that enable business leaders to make informed, high-impact decisions.Strategic Leadership: Collaborate with cross-functional teams to optimize core product decisions, including funnel conversion, experimentation, and unit economics.

At Garner Health, we are on a mission to revolutionize the healthcare economy by delivering high-quality and affordable care for everyone.We are fundamentally reshaping the way healthcare operates in the U.S. by collaborating with employers to redesign healthcare benefits through transparent incentives and robust, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, creating a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare funds more effectively, and physicians are acknowledged for providing outstanding care instead of merely increasing the number of procedures performed.Garner is among the fastest-growing healthcare technology companies in the nation. Our products are trusted by the most discerning employers and providers in the industry, and we are assembling a team of talented, mission-driven professionals who are eager to create a significant impact on healthcare at scale.About the Role:We are in search of an exceptional Data Scientist II to join our Central Data team. Reporting to the Director of Data Science & Analytics, this pivotal role is crucial in shaping Garner’s Product & Growth strategy—from assessing product impact to developing models that drive user engagement. You will work in tandem with data, product, and engineering teams to enhance the effectiveness of Garner’s member-facing product by addressing questions such as, “Which features drive user engagement?”, “What is the optimal time and channel for member outreach?”, and “What data concepts must we expand to better understand what motivates members to engage with Garner?” Your contributions will have a direct influence on our member-facing products and guide strategic product decisions.Where You Will Work:This position is based in our New York City office, with a requirement to work on-site three days a week (Tuesday, Wednesday, and Thursday).Your Responsibilities:Identify and evaluate product success through goal setting, A/B testing, forecasting, and monitoring key product metrics to discern trends.Oversee projects from inception to completion, including problem definition, implementation, validation, and iteration.Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI and machine learning models.Collaborate cross-functionally with data scientists, product leaders, engineering, and operations teams to define metrics and success criteria.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and promoting longevity. Our mission is to leverage the latest scientific innovations to empower individuals to take charge of their health and realize their full potential. The heart of our success lies in our people, who embody our core values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization from the start, Hone is committed to maintaining a remote-first work culture.Our Ideal CandidateWe seek a mission-driven and enthusiastic multitasker who is passionate about impactful and fulfilling work. Our ideal candidate embraces change and faces challenges with vigor, adopting an “all-in” approach to their responsibilities in our fast-paced, high-growth environment. They excel in both independent and collaborative tasks and lead with transparent communication. They embody humble leadership, driving initiatives forward while remaining dedicated to continuous learning and development. Most importantly, they are committed to being part of a team that advocates for improved longevity and quality of life for all.The RoleWe are searching for a Senior Data Scientist in Healthcare Operations to join our data science team. In this pivotal role, you will report to the Sr. Director of Data, Analytics, and Machine Learning, focusing on the application of data science and AI to enhance clinical outcomes and boost physician productivity across Hone’s virtual care platform.You will collaborate closely with clinical leadership, product, and engineering teams to design, develop, and assess models and AI-driven workflows that facilitate care delivery, minimize operational challenges, and empower clinicians to utilize their skills fully. As a senior individual contributor, you will be responsible for executing and delivering high-impact, well-defined projects. This position is perfect for someone who thrives at the intersection of healthcare, data science, and applied AI, eager to make a tangible impact on patient care.

About FaireFaire is an innovative online wholesale marketplace dedicated to empowering local economies. We believe in the strength of independent retailers, who collectively generate more revenue than industry giants like Walmart and Amazon. By harnessing the power of technology, data, and machine learning, we connect a vibrant community of entrepreneurs and help them discover the finest products from around the globe for their stores. Our mission is to level the playing field for small businesses, enabling them to compete successfully against large corporations.By supporting the growth of independent businesses, Faire positively impacts local communities worldwide. We seek intelligent, resourceful, and passionate individuals to join our team as we advocate for the shop local movement. If you share our commitment to community, we invite you to be part of ours.About this RoleWe are actively seeking a Senior Lead in Strategy & Analytics to expedite informed product decisions. This role necessitates a blend of analytical prowess, strategic foresight, and executional capability to foster business growth. As a Senior Lead at Faire, you'll oversee essential projects from inception to completion, collaborating with Product, Sales, Operations, Marketing, and Finance teams to guide our strategic roadmap by generating actionable insights.This position is perfect for a high-impact individual contributor who thrives in a dynamic, collaborative, and data-centric environment while gaining exposure across various functions.Key ResponsibilitiesDeconstruct complex strategic challenges to derive actionable insightsLead comprehensive cross-functional strategic initiatives that elevate company metrics in partnership with Product, Sales, Finance, Operations, and Marketing.Identify strategic opportunities, formulate hypotheses, conduct thorough analyses, and present recommendations to Faire’s leadership based on your insightsOwn critical business metrics by understanding trends deeply and surfacing key strategic insights to influence themProvide strategic thought partnership to cross-functional teams to ensure alignment and effective execution of initiatives

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

About SafeLeaseAt SafeLease, we are transforming the landscape of property and casualty insurance amidst rapid technological advancements. We recognize that the most significant inefficiencies in the industry are not rooted in technology but in structural aspects. Our mission is to assemble a dynamic team to address these challenges head-on.As a profitable insurance provider, SafeLease specializes in designing, underwriting, and distributing tailored coverage solutions for commercial property owners and their tenants. Unlike typical insurance firms that either distribute products or assume risks, we do both. We underwrite our policies using our own capital, granting us control over every aspect—from product design to technology, and the pace of our operations. This comprehensive control allows us to provide our clients with genuine flexibility, resulting in time and cost savings for over 4,000 properties insured nationwide, valued in the billions.With a robust team of 70 professionals and an impressive annual growth rate exceeding 100%, we prioritize maintaining profitability and a positive workplace culture. Here, you will enjoy significant autonomy while tackling a diverse array of challenges. We adopt the latest technologies, act swiftly in our decision-making, and foster a company atmosphere akin to a startup where every team member’s contributions are recognized. If you seek an environment that allows you to hone your skills alongside dedicated professionals, you will find your place with us.Location: New York City or Austin, TX - (Hybrid)Department: Data & AnalyticsReports To: CEOWe are in a phase of rapid expansion and need a visionary leader to develop and guide the data and analytics team, propelling our next growth stage. This is a pivotal position with direct involvement in leadership discussions.Position OverviewWe are in search of an exceptionally strategic and hands-on Senior Vice President of Data & Analytics to spearhead our analytics initiatives across the organization. This executive will oversee the comprehensive analytics function—including data management, collection, insights, reporting, and advanced strategic planning—encompassing both our real estate investment portfolio and insurance operations.The ideal candidate will be proactive, capable of working independently, and able to deliver impactful results without extensive support or existing infrastructure. They will establish the vision for our analytics strategy, ensuring that the company utilizes data effectively to facilitate informed, high-velocity decision-making.

Join Posh as a Senior Data ScientistAt Posh, we are on a mission to combat the growing loneliness epidemic exacerbated by digital social platforms. We empower individuals to forge real-life communities based on shared interests, creating a vibrant space for genuine connections.Our platform, designed by event organizers frustrated with current social tools, facilitates community building, event management, and monetization. In just five years, we've expanded to over 7 million users and processed more than $300 million in transactions, supported by $70 million in venture funding.Your RoleAs a Senior Data Scientist, you will play a pivotal role in developing our personalization and recommendation systems. You will lead the creation of our core algorithms, define our modeling strategy, and establish data standards organization-wide.Your responsibilities will encompass the full machine learning lifecycle, from identifying new data sources to evaluating model performance, directly influencing product experiences and user engagement.Collaboration is key; you’ll work closely with Product and Engineering teams to establish feature requirements and ensure the accuracy of our datasets. Your expertise will help maintain data integrity and model performance as we scale.This is an on-site position in our vibrant New York City office, located in the heart of SoHo. We believe in building live experiences and cultivating a passionate team environment.

Role Overview firststreet is hiring a Senior Data Scientist in New York City. This position focuses on building predictive models, analyzing large datasets, and turning complex data into practical insights that support business goals. What You Will Do Design and implement predictive models using machine learning and statistical methods Analyze complex datasets to uncover trends and patterns Work closely with colleagues from different teams to translate data findings into actionable recommendations Support business strategy and decision-making through advanced analytics Help strengthen firststreet’s overall data capabilities Who We’re Looking For Experienced in data analysis, machine learning, and statistical modeling Comfortable working with large and complex datasets Skilled at collaborating with cross-functional teams

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

At Profound, our mission is to empower companies to harness and manage their AI presence effectively. As a Data Scientist, you will be instrumental in mapping the interactions between humans and AI, enabling brands to transform AI into their most formidable advocates. Your role will involve constructing predictive models, creating innovative sampling methodologies, and enhancing brand visibility in AI-centric search environments like ChatGPT and Perplexity. Your contributions will significantly influence how businesses define their footprint in the generative AI landscape.Key ResponsibilitiesDevelop and enhance predictive models to analyze and forecast AI-driven search patterns.Design advanced sampling and data classification techniques to elevate AI-driven brand insights.Utilize large language models (LLMs) and natural language processing (NLP) to derive valuable insights from unstructured text data.Manage large datasets, ensuring efficient querying, cleaning, and classification processes.Conduct A/B tests and implement experimental frameworks to evaluate impact.Collaborate with the founding team to translate complex data insights into actionable business strategies.Candidate ProfileMinimum of 3 years of experience in advanced analytics within technology, marketing, or advertising sectors.Proficient in Python, R, and SQL, with practical experience in querying and analyzing large datasets.Strong expertise in data sampling methods such as stratified sampling, bootstrapping, and extrapolation.Solid foundation in predictive modeling and the application of machine learning techniques to predict event frequency.In-depth knowledge of large language models, their constraints, and practical applications.Enthusiastic about staying updated on AI research, particularly in multi-modal AI and advancements in LLMs.Adaptable to a fast-paced, high-performance startup culture.Work EnvironmentThis role will be based in our Union Square, NYC office, designed for individuals who thrive on speed, iteration, and impactful contributions. We are open to providing visa sponsorship for eligible international candidates.The expected base salary range for this position is between $140,000 and $260,000. Profound offers a competitive total compensation package that includes base salary, equity, and a comprehensive array of benefits. The final compensation will be determined by factors such as experience, qualifications, and internal equity.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...