Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Us: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Who You Are As Sr. Director, Data Science at HighLevel, you turn data into foresight. You lead the modeling, experimentation, and analytics disciplines that transform how the company understands customers, measures product impact, and drives growth.You see patterns in behavior, not just in data. You connect signals across millions of users to predict outcomes, optimize experiences, and guide decisions. You are equally comfortable in code and strategy, designing experiments one day and framing their business impact the next.You build high-performing teams that blend data science, applied ML, and product analytics, and you partner closely with Product, Growth, and Engineering to embed intelligence directly into the platform. You understand that data science is not a back-office function; it is how HighLevel learns, adapts, and scales. What You’ll Lead Own HighLevel’s end-to-end data science and product analytics strategy, focused on modeling, experimentation, and insight generation, built on the company’s governed data platform. Build and lead a global team spanning data science, applied ML, decision science, and product analytics, partnering closely with data engineering and platform teams to ensure scalability and reliability. Collaborate cross-functionally with Product, Growth, Marketing, and Engineering to ensure experiments, models, and insights directly inform product development, GTM decisions, and customer outcomes.Leverage the modern data stack (Snowflake, dbt, Atlan, Hex, etc.) to enable advanced analytics, causal inference, and machine learning at scale. Lead Product Analytics and Experimentation Oversee product analytics, defining how user behavior, engagement, and retention are measured, instrumented, and interpreted. Build and scale experimentation and A/B testing frameworks, ensuring statistical rigor and consistent methodology across 50+ product and marketing teams. Establish self-serve experimentation tools and centralized KPI definitions to accelerate data-driven product development.Partner with product leadership to translate analytics insights into roadmap prioritization, UX improvements, and feature impact assessments. Develop and Deploy AI & ML Solutions Design, train, and productionize predictive and prescriptive models that optimize retention, churn, pricing, lead scoring, and campaign automation. Collaborate with platform teams to build and maintain feature stores, model registries, and evaluation pipelines for reproducibility and compliance. Integrate machine learning and generative AI into the HighLevel platform to enhance personalization, automation, and user productivity. Define and monitor model performance metrics (e.g., precision, recall, uplift, business ROI) and ensure continuous retraining and quality control. Enable Data-Driven Growth Partner with GTM, Finance, and Operations to quantify the impact of models, experiments, and analytics on revenue, efficiency, and customer lifetime value. Deliver predictive dashboards, simulations, and causal analyses that complement BI reporting and drive strategic decisions.Build forecasting and optimization systems that connect directly to core business metrics like MRR, churn, LTV/CAC, and NPS. Provide the analytical backbone for IPO-readiness through measurable, model-driven insights and defensible forecasting. Drive Operational ExcellenceDefine success metrics for all data science and analytics initiatives and track performance against strategic goals Collaborate with the data platform organization to ensure model governance, lineage, and data quality are enforced within existing pipelines. Evangelize statistical literacy, experimental rigor, and causal thinking across all functions to raise decision-making maturity company-wide.Foster a culture of curiosity, reproducibility, and accountability in every analytics and modeling effort. What You’ll Bring 12+ years in data science, analytics, or ML roles, including 5+ years in senior leadership within SaaS or B2B2C companiesProven track record establishing and growing data science and product analytics teams that translate governed data into actionable models, experiments, and insights driving business growth. Expertise in Python, SQL, R, machine learning frameworks (TensorFlow, PyTorch), with strong applied experience in experimentation, causal inference, and model evaluation Proven experience leading product analytics, defining instrumentation, event taxonomies, and metric frameworks that tie directly to user behavior and product outcomes Deep understanding of A/B testing, causal inference, and experimental design at scale (50+ teams, automated frameworks) Experience operationalizing models with shared feature stores, model registries, and automated retraining pipelines in partnership with data engineering Experience developing AI-driven product features and operationalizing ML models at scaleStrong understanding of experimentation, attribution modeling, and business intelligence systems Strategic communicator with the ability to translate complex data into compelling business narrativesExperience supporting IPO readiness or large-scale data governance a major plus EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-NJ1 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.

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appea l. Job Summary: IAIC is seeking a leader to advance its pricing sophistication and capabilities. This position provides an exciting opportunity to shape the future of pricing at the company and bring structure to the organization and new ideas to life in an area of insurance that is growing and maturing like no other. Job Location: Remote - This position is remote, and you will work from a home office. Occasionally, travel to the nearest office may be for in-person activities such as team meetings, training, and culture-building events. Prefe rence given if you are located near our New York or Phoenix offices. Main Responsibilities: Increase sophistication of risk modeling to increase accuracy and minimize subsidization in pricing manual to fullest extent possible while balancing regulatory and business requirements. Partner with business to develop full-stack lifetime values (LTV) and build a company wide KPI and reporting structure to operationalize LTV in decision making. Influence design and oversee execution of exploratory data analysis to understand the relationship between data elements and insurance processes such as pricing, conversion, and retention. Lead data and risk segmentation improvements including the use of external data. Stay abreast of industry trends and advance capabilities to monitor for emerging insights. Drive continuous improvement and innovation. Support product and rate filing needs throughout the product/filing lifecycles. Lead the advancement of competitive rating infrastructure, tools, and reports to inform market positioning. Lead a small team of data scientists and/or actuaries to develop, maintain , and improve models for rating, conversion, and retention across a portfolio of products. Communicate findings and recommendations to technical and non-technical audiences through reports, presentations, and visualizations. Collaborate with actuarial, underwriting, and other stakeholders across the organization to accomplish goals and objectives . Basic Qualifications: Bachelor’s degree in Data Science , Statistics, Mathematics, Actuarial Science, or a related field . Associate or Fellowship designation in the Casualty Actuary Society or Society of Actuaries is preferred. 7+ years of experience in the insurance industry, preferably in an actuarial or data science capacity. Experience in data manipulation and statistical analysis. Experience with prominent rating software used across the insurance industry (i.e., Radar, Emblem, Earnix ) Strong oral and written communication skills . Excellent problem-solving skills, critical thinking abilities, and attention to detail. Prior people management experience preferred #LI-DNI All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following: Comprehensive full medical, dental and vision Insurance Basic Life Insurance at no cost to the employee Company paid short-term and long-term disability 12 weeks of 100% paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (FSA) Retirement savings plan Personal Paid Time Off Paid holidays and company-wide Wellness Day off Paid time off to volunteer at nonprofit organizations Pet friendly office environment Commuter Benefits Group Pet Insurance On the job training and skills development Employee Assistance Program (EAP)

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution. Some examples of past intern projects are: Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling. Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges Minimum Qualifications: Able and willing to work from our Redwood City, CA. office. Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September). Actively enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline during the internship. Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027. Preferred Qualifications: Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations. Ability to work independently, owning projects end-to-end, solving problems without much guidance. For more information about our internship program, please visit our site here: Moloco Internship Program. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Requisition ID: 37240 Cheers to creating an incredible tomorrow! At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer, seltzers, spirits, and non-alcohol brands, and a bold vision for our future... we're on the path to transforming the beverage industry. That requires remarkable individuals who are curious, tenacious, and never afraid to fail forward. We seek, value and respect everyone's unique perspectives and experiences knowing that we are stronger together. We collaborate as a team and celebrate each other's successes. Here's to crafting careers and creating new legacies. Crafted Highlights: The Director of Artificial Intelligence & Data Science Solutions will be responsible for driving an AI strategy forward in alignment with MCBC's AI ambition. This requires close collaboration with the AI Governance organization as well as leaders in the organization looking for AI solutions. This role will help establish a level of AI Literacy in the organization and bring an understanding to the power and yet also the concerns of AI. Outside of AI Literacy is the delivery of the Data Science and AI services and solutions. As a Director of an enterprise program, this role are accountable for leading a team of managers and professionals to deliver Data Science and AI services and solutions. This is done by creating frameworks and processes to leverage Data Science and AI technologies throughout the organization. Moreover, it will be to cultivate a learning and development environment within the team to continue to pipeline new talent into this rapidly evolving field of AI. Continuous talent development not only helps to retain the knowledge capital in the organization but also ensures products developed and delivered to the organize continue to deliver value. This role requires constant collaboration with our IT VPs and Product Managers to identify and close opportunities for business growth, supporting the terms and conditions of the delivery. A strategic focus is on enabling joint roadmap development around the delivery of solutions, ensuring high quality delivery and driving financial performance. This position reports to VP, Data, Analytics & AI What You'll Be Brewing: Most importantly, you will lead a team of talented colleagues, and support their growth and development through career discussions and consistent one on one conversations. Strategy Development: Develop and implement the AI and analytics strategy aligned with the organization's goals. Stakeholder Partnership - Partner with the data analytics team and other business and technology stakeholders in the organization. Communicate the value and impact of AI initiatives, gaining buy-in and support from senior management, business units, and other stakeholders. Understand business requirements and develop AI and analytics solutions that meet their needs. Provide guidance on data-driven decision-making and standard processes. Performance Measurement and Optimization: Define key performance indicators (important metrics) to measure the effectiveness and impact of AI and analytics initiatives. Continuously supervise and optimize models and algorithms to improve accuracy and performance. Key Ingredients: You are an authentic leader. You value and respect differences and believe everyone's unique differences is the key to collaboration and a winning team culture Bachelor's Degree Computer Science, Statistics or related field required You have at least 10-15 years experience in leading teams. You have 8+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with SQL, Python, Azure Databricks, Synapse, Machine Learning and AI). You have an understanding of ethical considerations and responsible AI practices, including bias mitigation, fairness, visibility, and explain ability. You love a challenge. You complete complex projects quickly and adeptly with your understanding of the business priorities You build relationships and collaborate to get to the desired outcome You take accountability for results - acting with integrity and honoring commitments You have a thirst for learning - you are always looking for ways to learn and help one another grow You exhibit our core values Beverage Bonuses: Flexible work programs that support work life balance including a hybrid work model of 4 days in the office We care about our People and Planet and have challenged ourselves with stretch goals around our key priorities We care about our communities, and play our part to make a difference - from charitable donations to hitting the streets together to build parks, giving back to the community is part of our culture and who we are Engagement with a variety of Business Resource Groups, which can provide volunteer opportunities, leadership experience, and networking through the organization Ability to grow and develop your career centered around our First Choice Learning opportunities Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, retirement plan options with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources On site Pub, access to cool brand clothing and swag, top events and, of course... free beer and beverages! Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences Molson Coors is an equal opportunity employer. We invite applications from candidates of all backgrounds, race, color, religion, sex, national origin, age, disability, veteran status or any other characteristic. If you have a disability and believe you need a reasonable accommodation during the application or recruitment processes, please e-mail jobs@molsoncoors.com. Pay and Benefits: At Molson Coors, we're committed to paying people fairly and equitably for the work they do. Job Posting Total Rewards Offerings: $168,700.00 - $221,400.00 (posting salary range) + 25% target short term incentive + target long term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days). The posting range provided above for salary is what we, in good faith, believe we would pay for this role at the time of this posting. We ultimately pay based on a number of non-discriminatory factors that inform pay decisions including but not limited to the required work location, previous work experience, skill set and internal equity.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

We're looking for a new leader in our data organization to guide and grow our product data science team at Spring Health. This is primarily a coach role: you'll spend a majority of your time on leadership, team enablement, and cross-functional strategy, with the opportunity to get hands-on with strategy and analysis for the most critical initiatives. You will lead product data science across our R&D organization, spanning both our member-facing and provider-facing experiences, with a focus on discovering growth opportunities through experimentation and enabling the broader R&D team to execute on them. You'll help refine and operationalize our metric tree, with a particular focus on acquisition and activation across the full ecosystem of how members find care and how providers deliver it. Your work will help more people who need care successfully get into and stay in care long enough to get better, in line with our mission to remove all barriers to mental health. What you'll be doing Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities. Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work. Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams. Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills. Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests. Collaborate with Data Analytics and Analytics Engineering to ensure that our metric tree and core growth KPIs are implemented consistently in our data models, documented clearly, and easily accessible across the company. What success looks like in this role: Your team regularly identifies high-quality growth opportunities through experimentation and analysis, and partners with R&D to execute on them, leading to meaningful improvements in key product and member outcomes. Experimentation continues to grow as a core part of how R&D operates: tests are well-designed, results are clear and actionable, and learnings are documented and reused across teams. Your data scientists grow in both impact and independence: they are trusted partners to their stakeholders, they take on increasingly strategic work, and they help shape roadmaps rather than only responding to requests. What we expect from you You are passionate about changing the face of mental health care and Spring Health's mission to remove all barriers to mental health resonates with you. You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products. You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring. You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners. You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success. You are deeply fluent in growth thinking: you're comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities. You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what's truly driving key metrics and where to focus experiments. You're comfortable diving into SQL and Python code when needed to sanity-check data, review your team's work, and give clear technical guidance. You have experience working with a modern data stack (for example, a cloud data warehouse, dbt, and a BI tool like Looker) and understand how good data modeling and a strong semantic layer enable consistent metrics. You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care. You are humble, highly motivated, and thrive in fast-paced, ambiguous environments. You see process and structure as tools to enable impact, not ends in themselves. The target base salary range for this position is $190,000 - $232,500 and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom, a weight management program-based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Johnson & Johnson Innovative Medicine: Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at Janssen Innovative Medicine. Position Summary: The Director, Data Science Strategy & Operations will play a pivotal role in driving the execution of critical initiatives for the Data Science & Digital Health (DSDH) organization and the integration of all IT and Data investments for R&D governance. This leader will oversee portfolio and project management activities (leveraging Wrike), lead a matrixed team of project managers, and ensure strategic alignment and operational excellence across the Data Science portfolio. Key Responsibilities: Strategic Leadership & Execution Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies. Design and implement appropriate governance for the Integrated IT roadmap for R&D Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners. Provide strategic input and operational expertise, including use business case quantification and value articulation. Portfolio & Project Management Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects. Implement and optimize project management processes and best practices, including using Wrike. Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes. Team Leadership Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture. Drive change management and continuous improvement initiatives within the team and across the organization. Financial & Business Planning Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap. Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance. Stakeholder Engagement Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions. Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders. Required Qualifications: Advanced degree (PhD or Master's) in Computer Science, Statistics, Data Science, or Business-Related field, or demonstrated equivalent work experience within a multi-national pharmaceutical company. 7+ years' experience in data science, digital health, or related fields, including significant experience in portfolio and project management. Demonstrated experience leading and developing teams of project managers. Expertise with project management tools (Wrike preferred) and methodologies. Proven ability to drive strategic initiatives and manage complex, cross-functional projects. Strong financial acumen and experience with budget management. Excellent communication, interpersonal, and leadership skills. Preferred Qualifications: Experience with healthcare datasets (EHR, claims, registries). Familiarity with the use of AI tools to improve productivity Familiarity with data visualization tools (e.g., R, Tableau, Spotfire). Experience in large matrixed organizations or consulting environments. Change management certification or training. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: y Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Job Description Who We Are Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. What Is blu. blu. is Horizon's omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients' existing tech. Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization. Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy. They act as a day-to-day contributor on specific client teams and focus on the generation of insights to inform audience strategy for planning and analysis of performance and optimizations while campaigns are still inflight. Key responsibilities are working with big data (data extraction & transformation) as well the application of advanced statistics and machine learning techniques to accomplish a variety of innovative and investigative projects on behalf of Horizon agencies and their clients. The role requires hands-on analytics expertise and client-facing solution design and will influence Horizon data strategy and product direction. This role often requires an ability to work cross-functionally with Client Architects and other teams key to data acquisition through client presentation, as a result, a collaborative spirit and strong communication skills are required. They will be expected to become expert in data assets within Horizon's proprietary Connected Marketing Platform called blu. and take ownership of specific data sources and client accounts. Responsibilities 40% Technical & Analytical Excellence Advanced knowledge of dimensions & metrics (people based, behavioral and media data) Ability to understand and make sense of the relationships/connections across datasets Knowledge of the data dictionaries and taxonomies of structured data sets Experience in ML and different techniques of supervised and unsupervised learning ETL & EDA processes Understanding of the complexity of working with Big Data 40% Solutions Design & Innovation Ability to understand and leverage blu. structured and unstructured data Data transformation/mining and generation of insights to explain audience performance and inform optimization Data join process between blu audiences, media exposure and conversion events to build feedback loops Analysis of audience conversion to KPIs Model creation to estimate contribution of attributes driving conversion Validation of models used during the Audience Building process Assessment of audience duplication and incrementality by channel, partner, or tactic User/log level data extraction from delivery sources to create new audiences based on exposure to manage frequency Database(s) querying to extract exposure events and create a new audience based on exposure by paid media channel (digital or linear) Problem solving and development for new modeling and analysis techniques Increasingly utilize AI solutions to inform and expedite some or all of the required analysis 15% Product Innovation & Management Operate as a Product Innovator and become a Product expert and power user, to drive continuing improvement in both in the analysis and results being supported by AI and the continuing custom solutions built on top and around those Experience with the ongoing operation and support of a Product in development and/or production Ability to ensure design principles that scale and can be repeatable and/or extensible to other clients or industries Experience with release management processes, including all levels of testing (Alph, Beta, QA, UAT) Ability to define features, models, queries and requests and provide "proof of concept"s for Product enhancement and future incorporation into blu+ product 5% Leadership & Team Management Act as a collaborative partner to the business and all stakeholders Participate in daily standups and meet delivery commitments Proactively identify and, when required, escalate issues and blockers striving to avoid business/client impact Work with Client Architects and Data Solutions to outline work required to fulfil requests and generate outputs Provide input to team training and development needs Qualifications BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required. Advanced Statistics a plus. 3+ years relevant experience, preferably in a media, marketing or digital advertising environment. Working knowledge of Big and basic data mining routines a must. Expert knowledge of SQL/Python /R knowledge a must. Knowledge of GitHub a plus. Machine Learning a plus. Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot. Experience working with digital analytics and audience insights reporting (Campaign Manager/ GA/ Adobe/GA360) - a plus. Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision. A team player who can work collaboratively within the group and across business units/functions. Excellent organizational, communication and interpersonal skills. #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $125,000.00 - $165,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Manager of Business Analytics- Data Science Business Unit: Strategy and Innovation Reports to: Director of Data Science Position Overview: This position is primarily responsible for running a small team who will influence decisions across the organization through the use of advanced business analytics and reporting techniques. As a business-savvy member of the Operational Risk & Support Services team, this position drives the development of data-driven insights through advanced technical and business skills. Those insights should provide the C-Suite and senior leaders with meaningful view and actionable intelligence into various departments using key risk and key performance indicators. Primary Responsibilities: Lead team to perform advanced analytics and reporting using the latest technologies and modern and techniques; the intention of which is to increase awareness of organizational performance and highlight business opportunities. Develop and architect cross-functional infrastructure to produce centralized, automated, scheduled reporting and analytics to key stakeholders at FNB. Should be able to do use SQL and Python skills for data analysis. Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team. Creates a technical environment in which data and solutions are documented properly. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: MA or MS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 10 Skills Required to Perform the Primary Responsibilities of this Position: Excellent communication skills, both written and verbal MS Excel- Expert Level MS PowerPoint- Expert Level Detail-oriented Ability to work and multi-task in a fast paced environment Excellent project management skills Communicate insights by KRI/KPI + commentary. Create/maintain data specifications, ST/LT strategy, milestones Partner with IT, data providers, Mgmt. etc. Problem solving Attention to detail Data prep/modeling/visualization Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: An advanced technical or business certification is a plus. Familiar with Python, R, SQL and Power BI Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Skip the "entry-level grunt-work," and start making a real impact on Day 1. As part of the Red Ventures Launch program internship, you'll find unparalleled opportunities to gain exposure to the role and learn what it's like to work at RV over the 11-week summer internship period with the goal of getting a full-time return offer for the following summer. You'll start with a large cohort of interns who will be your community as you navigate the RV internship environment together. You will experience in-depth onboarding and extended training to help you learn the ropes, accelerate your growth, and further hone your skills. After getting ramped up, you will join your assigned RV team, meet your manager and mentor, and gain hands-on industry experience to invest in your career growth. Interns will also get the chance to get to know the Charlotte area and the RV culture through engagement events and social impact opportunities. The Launch Program internship is NOT a chance to sit on the sidelines to learn how we do things. It's your chance to dive in headfirst and take advantage of a 10-week vision into the work we do, learn from our top mentors, and get a jump start into your Red Ventures career while still in school. This role will be based out of our South Charlotte location Monday-Thursday, with remote work on Fridays. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position will give you hands-on exposure to data science, product management, and data analysis. What You'll Do: As a Data Science Product Manager Intern, you will play a critical supporting role in connecting data science initiatives with product solutions to deliver value to both our business and customers. Support the identification of opportunities to enhance product impact by gaining a foundational understanding of the problem space, product strategy, and underlying technology. Assist in analyzing user and business data to provide insights into product improvements. Participate actively in the end-to-end lifecycle of a specific product experiment, including planning, facilitating, development, launching, data collection, analysis, and presenting findings to your team. Develop and apply technical skills by working on technical workstreams with mentorship. Tasks may include: Assisting in building data pipelines to collect, prepare, and visualize datasets Supporting the creation and evaluation of machine learning models in offline or proof-of-concept scenarios Helping create prompts or workflows involving Large Language Models (LLMs) to automate tasks or enhance product features Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you've had: Graduating Winter 2026 or Summer 2027 with a relevant Bachelor's degree. June 2026 start date in our Fort Mill, SC office (just outside of Charlotte, NC). Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation: $3,846.15 paid bi-weekly Who We Are: Red Ventures is a global portfolio of high-growth companies - spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team. Create a Job Alert Interested in building your career at Red Ventures? Get future opportunities sent straight to your email. Create alert

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Cincinnati, Ohio, United States of America Job Description: As a Co-op in the MD Quality and Compliance (Q&C) Digital Solutions organization, you will have the chance to: Use state of the art tools and take advantage of training courses offered at J&J. Collaborate with teams internal and external to the advanced analytics to implement customer-centric solutions for data analytics and process improvements Perform software development and validation to support medical device quality system digital solutions. Learn and apply various software development and lifecycle management techniques. Promote digital culture and capabilities across J&J medical devices Strengthen communication and leadership skills. Work with a diverse team of data scientists, analytics app developers, quality engineers, etc. Meet with Quality management to discuss risks and opportunities for the respective projects. The Digital Solutions Co-op will: Have the opportunity to work at and support Ethicon, Inc in Cincinnati, Ohio Assigned to a team in one of the various franchises of each respective company. Work in MD Q&C Digital Solutions group. Report directly to, and receive assignments from, MD Q&C Digital Solutions Advanced Analytics Manager, while also working with the broader team for additional assignments. Participate in and/or lead on-campus activities such as learning committees, volunteer events, and meet and greet luncheons with full time associates. Qualifications Enrolled in an accredited College/University pursuing a Bachelor's or Master's degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Electrical Engineering, Computer/Software Engineering or a related field Be in your second year or above in school at the beginning of the co-op term in May 2026 with a graduation date after August 2026 GPA of 3.0 or above Authorized to work in the United States during the full duration of the co-op (05/2026 - 08/2026) Familiarity with basic statistics concepts/terminology (If not in an engineering application- other roles are acceptable (i.e. budget management from a club, or any experience working with numbers Detail-oriented, highly organized and able to manage multiple tasks Demonstrated ability to work independently as well as on a team Proficiency with Microsoft Office (Word, Excel, Power Point) and have strong oral and written communication skills Preferred: Demonstrated leadership/participation in campus programs and/or community service activities Previous quality related experiences Knowledge of FDA or regulatory guidance. Medical related experience (previous co-op at medical device company, working volunteering at a hospital, etc.). Programming (e.g. R, Python, etc.) and data analytics experience is strongly preferred. Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: The anticipated base pay range for this position is : $23.00/hr to $51.50/hr Additional Description for Pay Transparency: The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company's consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on 8/14/2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 35.00 - 46.00 in Massachusetts // 35.00 - 46.00 in California // 35.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving SoFi's ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you'll do: Manage a team of Data Scientists supporting SoFi's Personal Loans, Student Loans, and Home Loans businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and retain top talent Ensure that the team is operating in an agile and efficient manner Stay up-to-date on the latest AI/ML technologies Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions What you'll need: Bachelor's Degree in a technical field 7+ years of Data Science or Software Engineering experience 3+ years management experience Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company Experience with using Airflow and DBT to build Data Pipelines in Snowflake Strong programming skills in SQL and Python Experience with building data visualizations with Tableau, Looker or other BI tools Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders; Strong relationship building and collaborative skills; Exceptional problem-solving Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $172,800.00 - $297,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale. Responsibilities: Own and drive end-to-end data science workstreams from problem definition to production and impact measurement. Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms. Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps. Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling. Collaborate with client stakeholders to translate business needs into high-level analytical solution designs. Present insights and solutions to business leaders, demonstrating impact and value. Manage analytics projects and coordinate with global client and Tiger teams. Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions. Partner with technical teams to select appropriate analytical methods and generate actionable insights. Communicate results to senior leadership and support the operationalization of analytics solutions.

We are looking for a highly motivated Data Science + AI Intern to support BillionToOne's efforts in scaling and automating critical data processes using AI. This internship is ideal for someone with a background in Data Science/Data Engineering/AI and an interest in applying AI-driven solutions to optimize sales operations, laboratory operations, customer support, and billing systems.Be part of a high-performing team on the cutting edge of prenatal and oncology diagnostics, working in a dynamic startup culture within a public company that is committed to changing the lives of hundreds of thousands of patients. Responsibilities: Work with stakeholder teams to develop and implement AI-driven automation solutions for scaling sales operations, lab operations, customer support, and billing processes. Assist in building and maintaining scalable data pipelines to support analytics and machine learning initiatives. Optimize data workflows by integrating AI models to improve efficiency and decision-making. Collaborate with cross-functional teams, including engineering, operations, and business teams, to understand requirements and propose data-driven solutions. Ensure data integrity, security, and compliance with industry best practices. Document technical processes and provide insights based on analysis and implementation. Qualifications: Currently pursuing a degree in Data Science, Computer Science, or a related field. College graduates are not eligible. Experience with Cursor, Claude Code, or other AI enabled IDEs is plus. Strong understanding of data engineering concepts, including ETL pipelines, database management, and cloud computing (e.g. Stitch, dbt). Experience with SQL, Python, and big data technologies Experience validating non-deterministic AI automation solutions Familiarity with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Experience with data visualization (Tableau) is a plus. Experience working with AWS cloud platform and data pipeline tools is a plus. Strong problem-solving skills, analytical mindset, and ability to work in a fast-paced environment. Benefits And Perks: Working with a team of 'rockstars' who bring out the best in everyone Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousand patients Free daily on-site lunches provided from top eateries Latest and greatest hardware (laptop, lab equipment, facilities) A variety of perks on campus (state of the art gym, restaurant) Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth. "}" data-sheets-userformat="{"2":769,"3":{"1":0},"11":4,"12":0}">For this position, the base pay rate is: $4,333 per month. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.