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Job Description: We are seeking a motivated and detail-oriented Data Science Intern to join our team. In this role, you will work closely with other analytics professionals to support data-driven decision-making across the organization. You will gain hands-on experience with data collection, cleaning, analysis, and visualization, and contribute to real-world projects that drive business impact. Key Responsibilities: Assist in data preprocessing, feature engineering, and exploratory data analysis. Support the development and evaluation of machine learning models. Create visualizations and dashboards to communicate insights. Collaborate with cross-functional teams to understand data needs and deliver actionable solutions. Document methodologies and present findings to stakeholders. Qualifications: Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with Python, R, SQL, and data analysis libraries (e.g., pandas, scikit-learn, matplotlib). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with data platforms (e.g., SQL, PostgreSQL) or data visualization tools (e.g., Tableau, Qlik). Knowledge of data science modeling techniques. Knowledge of machine learning concepts and statistical modeling. Base Pay Range: Hourly salary range offered for this position is estimated to be $20.00 - $25.00. However, the actual pay range depends on each candidate's experience, location, and qualifications. Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. EEO Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

The role: Join Curri to build and refine our data function with purpose and vision. As Director of Data Science and Engineering, you'll thoughtfully evolve our existing modern data infrastructure to drive strategic decision-making across the organization. This is an opportunity to make a significant impact at a growth-stage startup by translating complex data operations into actionable insights that directly influence our business trajectory. You'll lead a small, talented team (currently 3 members) while working closely with our executive leadership to shape how we leverage data. This role offers the autonomy to "make data your baby" while working within a collaborative environment that values both technical excellence and thoughtful implementation. What you will do: Lead and develop our existing data team to maximize their potential and impact Refine and optimize our Snowflake-based data infrastructure, building upon the foundation we've established with Snowflake, DBT, and Metabase Create platforms for operationalizing generative AI across the business, building on our successful implementations in support, driver optimization, and data summarization Partner with the executive team to translate data insights into strategic business decisions Collaborate closely with Engineering, Product, Finance, and other teams to ensure data solutions directly support company growth Identify and implement targeted infrastructure improvements that enhance system performance without unnecessary rebuilding Mentor team members to foster growth and continuity, resulting in strong retention and consistently high-quality work Share insights and perspectives at executive meetings and company All Hands, particularly around data strategy and AI initiatives What you need to have: 8+ years in data roles, including 3+ years in a leadership position, with a track record of impact in growth environments Deep expertise with Snowflake and modern data stack technologies (DBT, etc.) Strong understanding of AI/ML implementation and operationalization in business contexts Proven ability to build and mentor technical teams with limited resources Strategic mindset that balances long-term vision with practical, iterative execution Excellent communication skills to share complex concepts across all levels of the organization Experience working effectively across departments to deliver cohesive solutions Self-directed work style with a bias toward ownership and accountability What will make you stand out: Thoughtful Innovation: You identify which emerging tools and methods create genuine business value versus following trends Team Development: You create multiplier effects by combining technical excellence with people development Business Impact: You connect data initiatives to concrete business outcomes rather than pursuing technical initiatives in isolation Strategic Communication: You confidently share insights that shape company-wide decisions while maintaining independent perspective Cross-functional Influence: You maintain strong relationships across the organization while delivering high impact Iterative Approach: You value thoughtful evolution over disruptive change, building upon what works while strategically addressing gaps What is in it for you? A chance to make an immediate, meaningful impact at a fast-growing start-up. Significant responsibility from Day 1, with opportunities to shape our go-to-market strategy and directly contribute to company success. Work in a remote environment with a flexible schedule. We don't micromanage and want to help you do great work. There is no work/life-there is only life, and we want your time at Curri to be life-giving and foster the best version of you. We care about family and your personal development and don't expect you to always be engaged with work. Competitive salary, along with health, dental, vision, 401K, and equity compensation. Who are we? We are Curri and our mission is to be the way the world delivers construction and industrial supplies. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds. Curri was founded in 2019 and was a part of the YC S19 Batch. Employees work out of our office in Ventura, CA, but the majority of our fast-growing start-up operates remotely, with over 100 employees spread across the United States. We're solving a massive, global problem of inefficiency in the construction industry. We imagine a world of efficient construction sites resulting in a net win for the entire world. Find out more at curri.com.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. We are seeking a Senior Staff Data Scientist with profound expertise to drive the direction and vision of a major data science initiative. The ideal candidate will have a deep understanding of machine learning, AI, and data science, with a proven track record of designing and developing complex AI solutions that scale. This role requires exceptional leadership skills to mentor senior data scientists and work closely with executive leadership. You will lead innovation, set technical direction, and help establish high-impact AI solutions aligned with our business goals. Key Responsibilities: Drive the Direction and Vision of a Major DS Initiative: Lead and define the technical direction for a significant data science initiative, ensuring alignment with organizational goals and delivering transformative AI solutions at scale. Identify High-Impact Opportunities: Discover business opportunities through in-depth research, data exploration, and collaboration with executive leadership to align on strategic initiatives and high-value projects. Development & Productionization: Spearhead the development and productionization of machine learning models, from concept to deployment. Ensure that models are scalable, reliable, and optimized for performance in real-time and batch systems. Establish Robust ROI Measurement Mechanisms: Develop and implement mechanisms to measure ROI on AI/ML initiatives, including setting up experimentation frameworks to evaluate system capabilities and performance. Innovation & Research Intergration: Keep up with the cutting-edge research and industry development; Experiment and prototype research findings to enhance model performance and business impact Cross-functional Collaboration: Drive collaboration across AI, Engineering, Product, and Design teams to integrate data-driven decision-making and advanced AI capabilities into the organization's products and services. Mentorship and Guidance: Mentor senior data scientists, set technical standards, promote best practices, and ensure thorough documentation. Provide coaching to help the team grow both technically and professionally, fostering an environment of continuous learning and improvement. Presentations and Engagement: Regularly present to executive leadership and cross-functional teams, delivering impactful executive-level presentations to secure buy-in and alignment on AI/ML initiatives. Business Strategy Alignment & Resource Allocation: Align AI/ML efforts with business strategy and resource allocation. Provide guidance on the prioritization of AI/ML projects to maximize impact and drive business value. Technical Direction & Innovation: Lead and provide senior-level technical direction across teams. Promote innovative AI/ML solutions that push the boundaries of what's possible, generating excitement and buy-in from technical and non-technical stakeholders. Problem Identification & Solution Development: Identify complex company-wide challenges and opportunities for AI/ML solutions. Lead the development of prototypes or MVPs that can evolve into impactful, scalable solutions. Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and vision for the AI/ML organization. Foster a culture of craftsmanship, innovation, and excellence, promoting best practices across the team and ensuring high-quality solutions. Qualifications: B.Sc. in AI/ML, Computer Science, Statistics, Mathematics, or a related quantitative field Minimum of 10 years of experience in data science, machine learning, or AI, with a proven track record of leading end-to-end model development cycle and delivering impactful projects Profound experience and theoretical understanding of advanced quantitative methods in statistical, machine learning and deep learning. Demonstrated ability to lead and mentor senior data scientists, fostering a collaborative environment for technical growth Exceptional communication skills, with the ability to influence stakeholders and deliver executive-level presentations and documentation Extensive experience with SQL, Python, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Significant experience with cloud platforms (e.g., AWS, Microsoft Azure, Databricks, Kubernetes) Ability to solve complex technical challenges and create long-term strategic visions for AI/ML teams Preferred Skills: Strong background in experimentation, causal inference, and counter-factual modeling Experience in advanced modeling techniques, including numerical optimization algorithms, natural language processing (NLP), large language models (LLM) and reinforcement learning Research experience in computer science, statistics, machine learning and operational research, or a related field Strong leadership skills and the ability to manage cross-functional teams with a strategic mindset Advanced degree (M.Sc., Ph.D.) in a related field is a plus. This is a unique opportunity to shape the future of AI/ML initiatives within the organization, drive meaningful business outcomes, and help cultivate a culture of excellence and innovation in the data science field. If you're passionate about leading impactful AI/ML projects and mentoring the next generation of data scientists, we encourage you to apply. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Principal R&D Engineer- Data Science Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living! We're seeking a Principal R&D Engineer- Data Science who will serve as a leader in artificial intelligence-someone who not only understands where the field is today, but where it's going next. In this strategic role, you will help drive S+N's AI vision, ensuring we stay ahead of the curve by exploring, evaluating, and applying the most advanced technologies available. You will lead transformative AI initiatives that will shape the future of Smith + Nephew's orthopedic, wound care, and sports medicine products. You will lead efforts to ensure S+N remains on the cutting edge - scouting emerging AI trends, evaluating breakthrough technologies, and turning them into real-world solutions that improve patient outcomes. You will explore the frontier of AI-generative models, LLMs, deep learning, multimodal systems, and more - and apply these advancements to real-world healthcare challenges. You'll work across R&D, engineering, and product teams to research, prototype, and scale next-generation AI-powered applications. Use your deep expertise to influence strategy, mentor others, and accelerate our mission to help patients live a Life Unlimited. What will you be doing? Researching and evaluating pioneering AI technologies-including generative AI, LLMs, and deep learning-and identifying strategic applications in our product portfolio. Lead technology scouting initiatives and cultivate strategic collaborations with leading academic institutions, startups, and industry partners. Act as an inspiring leader in AI, driving S+N's innovation strategy by scouting emerging technologies and translating them into impactful solutions across orthopedics, wound care, and sports medicine. Developing proof-of-concept models and scalable AI solutions to enhance decision support, personalization, and product performance. Designing and building advanced data pipelines, feature engineering workflows, and training datasets for sophisticated AI models. Leading development and validation of machine learning models using modern toolkits (e.g., PyTorch, TensorFlow) and statistical techniques. Creating intuitive tools and interfaces that allow partners to interact with, test, and deploy AI-driven applications. Collaborating across multidisciplinary teams to align AI strategy with business goals and regulatory frameworks. Mentoring junior team members and fostering a culture of innovation, experimentation, and continuous learning. Communicating complex AI concepts clearly to technical and non-technical audiences, including senior leadership. What will you need to be successful? Education: Minimum PhD in Data Science, Artificial Intelligence, Computer Science, or a related field; OR Master's degree with 7+ years of relevant experience applying AI/ML in R&D or product innovation. Experience: Demonstrated experience leading AI initiatives in a research or commercial environment. Expertise in machine learning, deep learning, and statistical modeling. Advanced programming skills in Python and familiarity with frameworks such as Scikit-learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras. Strong understanding of data architecture, preprocessing, and feature extraction techniques. Proven ability to translate AI capabilities into real-world solutions with measurable business impact. Experience working with healthcare or regulated products is a plus. Excellent communication skills and the ability to influence cross-functional partners and decision-makers. Travel Requirements: Up to 25% You Unlimited. We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion and Belonging- Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ). Your Future: 401k Matching Program, 401k Plus Program, Discounted Stock Options, Tuition Reimbursement Work/Life Balance: Flexible Personal/Vacation Time Off, Paid Holidays, Flex Holidays, Paid Community Service Day Your Wellbeing: Medical, Dental, Vision, Health Savings Account (Employer Contribution of $500+ annually), Employee Assistance Program, Parental Leave, Fertility and Adoption Assistance Program Flexibility: Hybrid Work Model (For most professional roles) Training: Hands-On, Team-Customized, Mentorship Extra Perks: Discounts on fitness clubs, travel and more! Smith+Nephew is committed to the full inclusion of all qualified individuals. As part of this commitment, Smith+Nephew will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please alert the recruiter if you are selected to move forward. The anticipated base compensation range for this position is $158,000-198,000 USD annually and the compensation offered will depend on the candidate's qualifications. You may also be entitled to receive bonus and benefits, which may include medical, dental, and vision coverage, 401k, tuition reimbursement, medical leave programs, and a variety of wellness offerings. Smith & Nephew follows the Pay Transparency and non-discrimination provisions described by local and state policies. #LI-LS1 Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. Stay connected and receive alerts for jobs like this by joining our talent community. We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day. Check our Glassdoor page for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N. Explore our new website and learn more about our mission, our team, and the opportunities we offer.

We create possibilities that move life and commerce forward Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place. Principal Data Scientist, R&D, Science (Atlanta, GA) Job Description: Principal Data Scientist, R&D, Science positions offered by Manhattan Associates, Inc. (Atlanta, Georgia). Provide advanced Analytical, Data Science, and Machine Learning expertise as a Data Scientist focused on the inception and research of Data Science and ML use cases, including the continuous development and deployment of DS/ML models on our Manhattan Active Machine Learning platform. Collaborate with Science Leadership, Product Leadership, and Application Development Teams to identify, research, prototype/validate/benchmark, develop, and deploy ML-empowered solutions. Collaborate, guide, and assist product and ops teams on the full lifecycle support of use case models and solutions - including performance analysis, tuning and troubleshooting of production models. Work with large, complex data sets to extract, analyze, visualize, and infer meaningful insights. Research, experiment, and benchmark new Data Science, ML, & MLOps methods and technologies. Communicate, present, and document data science and machine learning concepts and solutions effectively, especially when communicating with non-technical business leadership, partners, and customers. Minimum Requirements: Requires a bachelor's or foreign equivalent degree in data science, computer science, engineering, mathematics, statistics or related technical field and 7 years of experience in the position offered or 7 years of experience performing analysis, research, prototyping, validating, development, productionalization, and lifecycle management of Analytical, Predictive, Data Science, ML-based models and solutions. In lieu of a bachelor's degree in the aforementioned fields and 7 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields and 5 years of experience as stated. Also requires 5 years of experience performing development using Python and leading open-source frameworks, packages, and tools to support the various stages of model research, development and productionalization. Employee reports to office in Atlanta, GA. Position may work from home, but must live within commuting distance of stated office. Experience may be, but need not be, acquired concurrently. #LI-DNI Committed to diversity and inclusion At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique. We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our 'MMO' offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. Key figures about Ekimetrics 400+ data science experts globally 1000+ diverse projects & 350+ clients 4 offices: Paris, Hong Kong, London and NY UK data company of the year 2023 Voted Great Place to Work 2023 Microsoft's sustainability partner Voted as a leader in "Marketing Measurement & Optimization" by Forrester wave 2023 About the internship: As an intern, you will work alongside Eki consultants on challenging projects with international blue-chip clients across diverse industries during the program. As both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills on your projects. From day one, you will join a team of three to six consultants and collaborate on client and R&D projects simultaneously. From discovery meetings to final recommendations, responsibilities include: gathering and analyzing data, building statistical models, translating quantitative insights into strategic recommendations and delivering the final results. The projects will push you to create innovative approaches and to take ownership. You'll present your results directly to C-suite clients and business executives. Our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge, working directly with Ekimetrics partners. Each member of our team takes a vested interest in the development of your technical skills and business acumen. Our team members continuously learn and grow through 70+ proprietary training sessions and collaboration with colleagues as coaches and mentors. Finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team. Job Responsibilities: Data Analysis and Model Construction Utilize advanced statistical techniques and best data practices to help the team progress through project work Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses Strategic Partnerships with Clients Liaise with clients to develop a deep understanding of their business context and experience Deliver findings and battle plans with excellence and confidence Provide ad-hoc analyses that further develop projects and client relationships by parameterizing the business questions Ekimetrics Research and Development Support our fast growth by contributing to the development of new methodologies and offers Qualifications: We are looking for a talented, dual-profile consultant. Data Skills Bachelor's or Master's degree (or equivalent) in Data Science, Business Analytics, Statistics, Economics, Engineering or a related analytical field. Outstanding record of academic achievement. 0-2 years of experience in Data Analysis / Modeling / Advanced Analytics Passion for data, extensive knowledge in statistics or applied mathematics Experience using advanced analytical methodologies to answer questions Experience with statistical software such as Python (preferred) or R Consulting Skills Consulting experience or interest in working as a consultant Strong interest in marketing & business issues Exceptional written and oral communication skills Ability to work collaboratively in a team setting Self-driven and motivated to thrive in a fast-pace environment Continuously striving for high performance Good sense of humor! Additional Requirements: Must be at least 18 years old Must be eligible to work in the U.S. without sponsorship Must be able to work on-site in New York, NY What we offer: Competitive compensation package of $2,800/mo in a management consultancy business An emphasis on work-life-balance Dynamic environment with a strong culture and great offices Close-knit team with friendly environment, bi-monthly team events and more Creative and entrepreneurial start-up environment with vertical mobility Best-in-class methodologies and cutting edge technologies Unique training package with 70+ sessions Growth to develop a double profile in data science and strategic consulting Client exposure up to the executive level $2,800 - $2,800 a month Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide guaranteed performance lift from day one. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview We are looking for a Data Science Manager or Director to lead the design and deployment of advanced machine learning models for fraud detection common use cases across financial industries,  such as ACH, card payments, onboarding, and more. This role is central to DataVisor’s mission to stop fraud using cutting-edge AI. You will drive the development of industry-level consortium models as well as customized models tailored to individual clients. Your work will span supervised and unsupervised learning, anomaly detection, and large language models (LLMs), with a focus on using AI to accelerate data analysis, result interpretation, and fraud signal discovery. This is a hands-on leadership role that combines deep technical expertise with strategic thinking and customer engagement. Key Responsibilities Advanced ML Model Development Lead the end-to-end development of machine learning models, including supervised, unsupervised, and deep learning approaches, for fraud detection and risk mitigation. Incorporate large language models (LLMs) and generative AI to improve detection precision, result explainability, and analytical workflows. Design and deliver industry-wide consortium models as well as client-specific models to meet both broad and tailored detection needs. Enhance and scale the model governance frameworks, including model documentation, version control, validation, monitoring, and regulatory compliance alignment. AI-Powered Data Analysis and insight derivation Use AI to assist with data mining, fraud trend detection, and root cause analysis for fraud events. Automate result interpretation, detection reporting, and ongoing model performance diagnostics and explanations. Client-Centric Solutions Collaborate with top-tier financial institutions, fintechs, and e-commerce platforms to understand fraud challenges and deliver measurable detection improvements. Translate client-specific data and feedback loops (e.g., chargebacks, ACH returns) into actionable machine learning strategies. Cross-Functional Execution Partner with Engineering and Product teams to operationalize models in production, ensuring high scalability and performance. Support Customer Success teams with detection insights and model tuning. Thought Leadership & Research Publish and present on fraud trends, model innovations, and AI applications. Represent DataVisor in external forums, industry conferences, and customer workshops. Requirements PhD in Computer Science, Statistics, Machine Learning, or a related quantitative field. 7+ years of experience applying machine learning to real-world problems, preferably in fraud/risk domains. Deep understanding of fraud data ecosystems and feedback mechanisms (e.g., chargebacks, disputes, returns) is a plus Strong programming and analytical skills (Java, Python, SQL, scikit-learn, XGBoost, PyTorch/TensorFlow), with pragmatic approaches to solve real-world problems Experience with LLMs and generative AI applications in detection or analytics is a strong plus. Proven ability to build, deploy, and monitor ML models in a production environment. Strong communication and collaboration skills with the ability to work across technical and non-technical teams, including direct engagement with clients. Leadership experience in hiring/mentoring/managing data scientists and driving cross-functional initiatives. Benefits Health Insurance, PTO, 401k

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

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: SoFi’s Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company’s risk appetite and helps create the products and experiences that put our members’ interests first. The Credit Strategy Lead  will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi’s lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The initial focus of the role will be on Credit Card Customer Management but the candidate may get opportunities to work on other lending products in the future. The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi. What you’ll do:  Innovate… Bring your brightest ideas to building risk strategies. This means you will architect the pre-screen and underwriting strategies.  Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem – including multi-product internal, bureau, third-party, and alternative data sources and uses.  Iterate, learn, innovate… We are all responsible for innovation and must embrace data-driven decisions. Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.  Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members. What you’ll need: 4+ years of related experience Business acumen and work experience in the consumer lending business (loans or credit cards) Direct experience in the credit strategy analytical life cyle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Proficient skills in Excel, SQL and Python A demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau Preferred: 4+ years of consumer lending credit strategy work experience Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements Preferred: Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science 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! 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 embracing diversity. 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.

About Attain Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising. At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday. About the role Attain is seeking a Director of Consumer Data Science to support the growing needs of our suite of consumer mobile applications. You’ll own the application, maintenance, and evolution of advanced machine learning techniques to the cash-flow-based credit decisioning model that powers our earned wage advance product, Klover. You'll have boundless other opportunities to apply data science to improve business outcomes across our app portfolio: transaction categorization, paycheck detection, fraud scoring, churn prediction, and more. What a typical week might look like Hands-on contribution to the development of our the ML models at the core of our EWA product, driving for speedy and outstanding execution Lead by example and define best practices for robust and efficient machine learning service development that includes data processing, feature engineering, model development, model deployment, and in-production support, etc. Collaborate with a cross functional team of data analysts, engineers, product managers and business stakeholders to cost-effectively deliver advanced ML models with quality, efficiency and precision Identify new areas to apply data science models and algorithms to optimize the business Drive the consumer data science roadmap and priorities Preferred Qualifications  5+ years direct experience working as a Data Scientist on relevant business problems Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree in a quantitative field (PhD preferred)  Strong expertise in developing and deploying machine learning models (especially credit decision models) in production Solid understanding of the underlying mathematical foundation of machine learning models Proficiency in Python Experience with cloud computing services or platform (GCP preferred) Strong SQL skills Familiarity with version control and peer code review systems Demonstrated ability to learn and embrace new technologies, applications, and approaches Willingness to roll up your sleeves and wear multiple hats across the data science team, based on the needs of the business Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences We’re excited to hear from you.  At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. 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.  Scrappy, tenacious, self-motivated, yet a team player with humility and a great sense of humor. 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 with a bachelor's or master's degree in Summer 2025, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2025 cohort) 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, GPT4). 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. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Compensation: Starting Salary: $95,000  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Matching 401(k) plan Flexible PTO Top medical, dental, and vision coverage Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Free onsite fitness classes, premier wellness center, spin studio, basketball court, and yoga studio Casual dress code – yes, that means jeans! Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life’s biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you’ve never heard of, you’ll know that your work is being seen and making a difference. For more information, visit  https://redventures.com and follow @RedVentures on social platforms. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Data Science Leader at Anthropic, you will be responsible for building, mentoring and leading a world-class team that turns data into actionable insights. This extremely impactful role is central to scaling our business while maintaining our commitment to safe and beneficial AI. You and your team will develop metrics, analyses, experiments, and machine learning models that help create excellent user experiences and grow the business. You'll collaborate most closely with go-to-market, finance, and infrastructure teams to guide our strategic decision-making as we deploy frontier AI technology to users worldwide. As a key leader of Anthropic's data strategy, your team's work will shape key decisions, directly accelerate our progress, and contribute to Anthropic's mission of ensuring that artificial intelligence has a positive impact on humanity. Responsibilities: Lead and develop a high-performing team of data scientists, providing mentorship, guidance, and career development opportunities Partner with Sales, Marketing, Compute, and Finance leadership to develop metrics, dashboards, and analyses that inform strategic decisions across these domains Drive product strategy through data-driven insights, including user behavior analysis, product performance metrics, causal inference and experimentation Create and maintain sophisticated forecasting models for business planning, operations and capacity management Develop lead scoring, customer segmentation, propensity models, and predictive machine learning approaches to help nurture and grow customer accounts Establish engineering best practices, data modeling and scalable data infrastructure in collaboration with engineering teams Communicate complex analyses and recommendations effectively to executives and stakeholders across the organization Foster a collaborative, inclusive team culture that balances technical excellence with practical business impact You may be a good fit if you have: MS or PhD in a quantitative field (statistics, mathematics, computer science, physics, or related) 12+ years of experience in data science and analytics (or 10+ years of work experience with a PhD degree), including 6+ years managing high-performing technical teams "Director" or "Senior Manager" title at a large organization, or "Head of" title at a smaller organization Experience partnering with Sales, Finance, or Capacity on their data needs Proven track record of driving product strategy through data insights and building metrics that matter Deep expertise in statistical analysis, experimental design, and causal inference Experience with SQL, Python, R, and data visualization tools for large-scale analysis Demonstrated ability to partner effectively with cross-functional stakeholders and influence decision-making through data Experience building data capabilities from early stages through rapid growth phases Strong communication skills, with ability to translate complex technical concepts to diverse audiences Passion for Anthropic's mission of building safe and beneficial AI Strong candidates may also have experience with: Building data teams and practices in fast-paced, high-growth technology companies Financial modeling, capacity planning, chip optimization, or operations research Machine learning, NLP, or experience working with AI and large language models Go-to-market analytics, including marketing attribution, sales forecasting, and customer lifecycle analysis Knowledge of cloud based billing systems and standard accounting practices Managing through ambiguity and creating clarity in early-stage environments The expected salary range for this position is: Annual Salary: $275,000-$355,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Genedata , one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact . You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker. Genedata’s market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics so they can find breakthrough therapies faster. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D. Learn about the Danaher Business Syste m which makes everything possible. About The Role Are you a translational, (pre-) clinical research scientist, or data scientist working for a biopharma organization or CRO, wanting to make a real impact on patient care? We are seeking to grow our highly innovative and interdisciplinary team in our East Coast Office and offer an exciting opportunity to support, shape, and promote a successful, cutting-edge software system widely applied in biopharmaceutical research. As an Application Scientist for the Genedata Profiler platform, you will be a key member of our dynamic team, empowered to have a significant impact on the continuous growth of our business. You will work with our partners in research across the entire drug R&D value chain, achieving their vision of precision medicine through leveraging the full power of clinical, phenotype, molecular, and imaging data. This includes consulting our customers to optimize their scientific data analysis workflows and using your scientific and technical knowledge to solve real-world scientific challenges. This full-time position is based in Lexington, MA and requires regular travel within the U.S. (about twice per month), and occasional travel to Europe. The salary range for this role is $80,000 to $130,000 . This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. Your Responsibilities Be the scientific expert related to multi-omics, biomarker, imaging, clinical data analysis in general and the use of our Genedata Profiler software in particular, Support Genedata Profiler implementation projects through user engagement, consulting, business process analysis, and solution design, Work with our Business Development team in establishing and communicating the value of Genedata Profiler to prospects and customers, Scope and perform customer data science projects and ensure results delivery at the level of excellence that our customers know us for, Identify new business opportunities in collaboration with the business team, Establish relationships with our customers by being their first contact and a partner on scientific and technical matters, Channel the insights gathered through your customer interactions back to our Development and Product Management team. Skills & Experience PhD or MS in bioinformatics, data sciences, health sciences, or related discipline, 3+ years’ experience in biomarker research, patient stratification, or companion diagnostic approaches, ideally working at a CRO, in a clinic or a pharmaceutical company, Solid experience working with phenotype, exploratory clinical, biomarker, and molecular data in research, Understanding of statistics and specific methods applicable to ‘omics and integrated research data, Presentation and communication skills: Present complex scientific and basic IT concepts to a multitude of stakeholders in training, workshop, or sales situations, Experience with scripting languages (preferably Python, R), Knowledge of pharmaceutical research and familiarity with biopharma research and development processes, Highly motivated self-starter with exceptional interpersonal and communication skills within a cross-functional environment, Entrepreneurial spirit with the ability to interact productively with scientists, managers, and IT experts both internally and externally as part of an interdisciplinary team. Must be legally authorized to work for any employer in the U.S. What We Offer Genedata is on a mission to accelerate the pace of biopharma R&D. Our enterprise software solutions digitalize and automate lab operations so scientists can discover insights faster, push scientific boundaries farther, and drive change right now. With over two decades of success due to closely-knit teams of scientists, software engineers, and business experts, Genedata has become the market-leading provider of enterprise software solutions for biopharma R&D. Each employee is encouraged to contribute to the operations and evolution of the company. Our collective expertise in scientific R&D informatics, combined with our open and scalable software platform, makes us the essential technology for the operations of top biopharma companies and innovative biotechs worldwide. We are headquartered in Basel, Switzerland and have subsidiaries in the US, Germany, UK, Japan, and Singapore. Genedata offers an attractive Total Reward Package comprised of a competitive salary and attractive benefits in return for your contribution to our success. As an equal opportunity employer, Genedata proudly celebrates diversity and believes in an inclusive workplace. Genedata , a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Next Steps Genedata does not accept applications from recruitment agencies. If you are interested in this position, please apply directly here. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here . We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

We're looking for experienced leaders to join our data science org who are excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager on our team, you'll work closely with stakeholders as well as leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go-to-market activity. These positions function more like a tech lead role, where you'll oversee a small team while also remaining actively hands-on. This is a full time role that can be held from one of our US hubs or remotely in the United States. We are seeking an experienced Data Science Manager to join and lead the Sales Data Science Team. In this role, you will be responsible for delivering customer focused insights, building the infrastructure and tooling to scale data access across a rapidly growing sales team, and deploy advanced models to improve our targeting and efficiency. The ideal candidate will have a strong track record of executing analytical projects, creating compelling data stories and visualizations, and communicating across diverse technical and non-technical audiences. What you'll do at Figma: Take a hands-on approach to tackle a subset of problems and provide detailed analysis. Manage, support and grow a diverse team of data scientists who own all aspects of data within the Sales organizations Partner with Sales leadership to set strategy, priorities, and mission for teams and projects Develop and refine more advanced statistical modelling around lead scoring, cross-sell modelling, and uplift modelling. Foster a data driven culture by elevating metrics reporting and understanding Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Establish a vision for the team. We'd love to hear from you if you have: 5+ years of experience collaborating with sales teams, building models and conducting strategic analysis to fuel growth 2+ years of experience managing high output business oriented sales data science teams Proven track record of influencing functions and shipping high-quality data products that support organizational objectives Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling Proficiency in leveraging data and metrics to guide business decisions While not required, it's an added plus if you also have: A desire to build an inclusive and diverse culture Experience scaling teams in high growth environment Read more about our team: https://www.figma.com/blog/cross-functional-data-science-user-research-figma/ https://www.figma.com/blog/how-we-use-data/ https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/ At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. SUMMARY: We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun's core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e., data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun's affordable, credit building loan product. RESPONSIBILITIES: Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results QUALIFICATIONS: A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master's degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor's degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 12+ years of hands-on relevant experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive. 12+ years of relevant experience in leveraging modern machine learning toolset and programming languages such as Python. Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus #LI-PR1 #LI-Remote We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/ . We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI's Internet Crime Complaint Center (IC3).

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

THE OPPORTUNITY Dillard’s is seeking a backend developer with an interest in data analysis and machine learning to join our team. For this role, you will use Python, Kornshell, JavaScript, and SQL for developing and maintaining applications. To be successful, you should be a life-long learner who enjoys acquiring knowledge of new technologies and striving for continuous improvement. THE TEAM This role is on the Customer Data Science team, which uses predictive insights to analyze customer behavior, current business trends, problems, and strategies to help provide actionable insights for the company. As a member of this team, you will work with Python and SQL to develop the applications and framework needed to develop predictive models and for our analytics-driven email programs. You will have the opportunity to make an immediate impact while also furthering your skills and knowledge by utilizing a diverse set of tools. WHAT YOU WILL DO Develop new code to integrate machine learning models into processes that adhere to coding best practices Test and debug currently deployed code Support deployment of smart emails weekly; develop new solutions to support email marketing automation and scalability for personalization Complete ad hoc analysis projects to support marketing and merchant brand analysis Develop predictive models based on customer behavior Work with cross-functional teams, such as Data Science, Data Warehouse, BI, Marketing THE MUST-HAVES Coding experience (Python) Strong SQL skills, with a desire to become a SQL expert Experience with large datasets and data processing Strong self-motivation to learn new technologies Ability to work independently as well as collaboratively Ability to adapt to change THE NICE-TO-HAVES Modeling experience Teradata experience Experience with machine learning algorithms or statistical modeling JavaScript WITHIN 1 MONTH, YOU’LL Develop a basic understanding of querying data in EDW. Develop a basic understanding of the customer data mart. Develop a basic understanding of our software stack. Develop a basic understanding of our Python scripts and how to troubleshoot them. WITHIN 2 MONTHS, YOU’LL Be able to complete a customer analysis independently. Develop a basic support of weekly smart emails. Contribute ideas for new models/projects. WITHIN 3 MONTHS, YOU’LL Be able to work independently in the data warehouse and AI environment. Be able to independently research, optimize, and maintain code. No immigration sponsorship (ex. H-1B, TN, STEM OPT) is available for this position

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals USA, Inc. for the following job opportunity: JOB LOCATION: Lexington, MA POSITION: Data Science Engineer POSITION DESCRIPTION : Takeda Pharmaceuticals USA, Inc. is seeking a Data Science Engineer with the following duties: Design, build, and maintain scalable and reliable data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources (e.g., sales, marketing, patient data, healthcare providers, etc.); Ensure seamless data integration between internal systems (CRM, ERP, financial systems) and external healthcare/pharma datasets (IQVIA, Symphony, Veeva, etc.); Automate data ingestion and transformation processes using ETL/ELT tools; Define data engineering techniques and best practices for data transformation, data integrity, test design, validation, and documentation; Integrate commercial data (sales, claims, prescription, payer data) with internal data sources (MDM, marketing campaigns, sales force activities, etc.) for better business insights; Collaborate with data analysts, data scientists, and business intelligence teams to understand data requirements and translate them into scalable data solutions; Regularly review and improve data processing efficiency, addressing bottlenecks in data pipelines and ensuring system reliability; Developing chatbots and virtual assistants (e.g., using GPT-4 or AWS Bedrock) to support field sales teams, HCP interactions, or customer service, automating responses to frequently asked questions, or personalizing HCP engagement. Up to 50% remote work allowed. REQUIREMENTS: Bachelor’s in a Computer Science, Information Systems, or data related field plus 5 years of related experience. Prior experience must include: Work as Data Engineer Consultant for major U.S. Healthcare industries for 5 years; Lead a data team in migrating commercial healthcare data across multiple countries from Salesforce to Veeva application for a major U.S. biotech company; Design data pipelines using Unix Shell scripts, Oracle PL/SQL to help a major U.S. biotech company launch their new product and implement a new REMS module in TrackWise, as required by FDA; Implement the Reltio MDM process across multiple countries for a major U.S. healthcare company, enhancing data management efficiency and ensuring uniformity, accuracy, and improved data quality. Full time. $153,000 - $228,000 per year. Competitive compensation and benefits. Qualified applicants can apply at https://jobs.takeda.com . Please reference job # R0149630 . EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. Locations Lexington, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Who We Are International Justice Mission (IJM) is the global leader in protecting vulnerable people from violence around the world. Our team of over 1,200 professionals are at work worldwide in over 30 offices. Together we are on a mission to rescue millions, protect half a billion, and make justice unstoppable. We are a global community that cares for one another. We believe that the way we work is as important as the results we achieve. We provide professional excellence with joy and celebration to all those we serve. The Need For over 25 years, IJM has pioneered the work to protect vulnerable people from violence. 9 out of 9 times in the last decade, IJM’s Justice System Strengthening Projects have reduced slavery and violence between 50 and 85% for very large populations of people in poverty. As we grow to expand our impact to protect 500 million people from violence, we are seeking a Data Science Intern to join the 2025 Fall Internship class. The Data Science Intern will support various initiatives executed by the Global Measurement Team , whose goal is to provide leadership, direction, and services on mea surement and program management to our colleagues and partners. The Data Science Intern will help the Global Measurement Team work with program teams to identify opportunities where data can drive greater impact. Tasks may include: Support developing software processes for automating data clean up in research datasets; Support executing data trainings, workshops, and brainstorm sessions; Working with data from multiple internal and external data sources; Conducting surveys on AI-use; Participating in departmental and general IJM administrative support. This position can be fully in-person or hybrid (onsite Tuesdays & Thursdays) in the Washington, DC area or remote for non-local candidates. It reports to the Sr. Specialist, Data Science . The position requires 30- 40 hours per week. Fall internship program dates are Sept. 15 – Dec. 12, 2025 . General Qualifications and Required Skills Bachelor's degree must be in progress for DC/Remote Internships and applicants need to have completed at least two years of undergraduate study. Experience in community engagement. Experience with project management and administrative support. CRM experience a plus. Excellent written and verbal communication skills. Critical Qualities Mature orthodox Christian faith; Humble and resilient; Pursues excellence; Culturally aware and appreciative of difference; Strong service ethic; Innovative problem solver; Ability to build trust and strong partnerships with others; Courageous in pursuing opportunities and challenges; Tenacious in achieving goals; and Professional. Application Process: Upload Resume, Cover Letter & Statement of Faith* in one PDF document . *What is a statement of faith? A statement of faith should describe your Christian faith and how you see it as relevant to your involvement with IJM. The statement can either be incorporated into the cover letter or submitted as a separate document and should include, at a minimum, a description of your spiritual disciplines (prayer, study, etc.) and your current fellowship or place of worship. IJM holds strict safeguarding principles and a zero tolerance to violations of the Safeguarding Policy, Protection against Sexual Exploitation, Abuse and Harassment Policy, and Code of Ethics. Candidate selection is based on technical competence, recruitment, selection and hiring criteria subject to assessing the candidate’s value congruence and thorough background, police clearance, and reference check processes. At IJM, we’re committed to building a diverse workforce through fair and equitable employment practices. IJM encourages people of any race, color, age, sex, marital status or political ideology to apply for employment. While we welcome everyone into this work, we truly believe that the work we are doing is God’s work, not our own, and practice spiritual disciplines together daily. That’s why we legally require under SEC. 2000e-1 [Section702] of Title VII of the Civil Rights Act of 1964 that all employees practice a mature orthodox Christian faith, as defined by the Apostles’ Creed. IJM requires a background check, police clearance and thorough review of references with an employment offer and/or employment contract. #LI-BR1 #LI-Hybrid #LI-Remote