Data scientist jobs near me - 1,237 jobs

A pioneering AI supplier intelligence firm based in San Francisco is hiring a Data Scientist to engage and drive activity in a buyer-supplier marketplace. The ideal candidate will have 4-7 years of data science experience, strong skills in Python and SQL, and a passion for AI. This role involves developing AI features, analyzing supplier data, and shaping strategies across teams. The company offers competitive compensation, a remote-flexible culture, and a commitment to innovation. #J-18808-Ljbffr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer‑centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes. What You'll Do Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections Own the development and delivery of risk insights, driving data‑informed decisions that minimize losses while enabling sustainable business growth Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance Collaborate cross‑functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high‑impact recommendations Tackle ambiguous, high‑impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes Requirements A Bachelor's degree in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred Hands‑on experience in risk strategy within payments, lending, banking, or financial institutions is a plus Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy Exceptional problem‑solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non‑technical audiences Strong organizational skills with the ability to manage multiple projects in a fast‑paced environment and meet tight deadlines Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview. #J-18808-Ljbffr

A leading data and analytics firm is looking for a Data Scientist / Machine Learning Engineer to enhance their data infrastructure and collaborate with a dynamic team. This fully remote role seeks expertise in machine learning, deep learning, and proficiency in Python. Ideal candidates will design and implement advanced ML models and work closely with data and software teams. Benefits include paid time off, U.S. holidays, and career development opportunities. #J-18808-Ljbffr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart‑sensor systems to high‑performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the ChimeraGPNPU. Your analyses will set the quantization recipes that ship in the ChimeraSDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‑format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes. Qualifications: M.S./Ph.D. in CS, EE, Applied Math, or similar, with5+years in ML model optimization or data‑science‑driven research. Deep grasp of fixed‑point arithmetic, quantization theory, and statistical calibration. Fluent in Python, PyTorch or TensorFlow, NumPy/Pandas/SciPy, and data‑viz tools (Matplotlib/Plotly). Hands‑on with at least one quantization toolkit (PyTorchFX/PTQ/QAT, TF‑Lite, ONNX‑Runtime, TVM, MLIRQuant). Working knowledge of CNNs, Transformers and DNN architectures. Benefits: Provide competitive salaries and meaningful equity. Health Care Plan (Medical, Dental & Vision). Retirement Plan (401k, IRA). Life Insurance (Basic, Voluntary & AD&D). Paid Time Off (Vacation, Sick & Public Holidays). Family Leave (Maternity, Paternity). Work From Home. Free Food & Snacks. Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real‑time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co‑founded by technologists from MIT and Carnegie Mellon, who were previously the technical co‑founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability. #J-18808-Ljbffr

We're looking for a Data Engineer who loves building and managing data solutions. This is a fully remote, career opportunity with a forward looking marketing company with a national footprint. You'll be working in the Azure cloud, creating reliable pipelines, making sure data is clean and accessible, and helping the business make smarter decisions. If you enjoy solving problems, working with all kinds of data, and collaborating with both technical and non-technical teammates, this role is for you. What You'll Do Build and manage data pipelines in Azure (Data Factory, Databricks, Synapse, etc.). Pull in data from different sources-APIs, databases, cloud apps, even streaming data. Organize, clean, and transform data so it's ready for reporting, dashboards, or advanced analytics. Keep everything secure and aligned with data governance and compliance rules. Work with analysts, data scientists, and business teams to make sure they have the data they need. Troubleshoot issues and keep systems running smoothly. Automate and improve processes wherever possible. Stay up to date on new Azure tools and data engineering best practices. What We're Looking For 3-5+ years working with data engineering and data architecture Hands-on experience with Azure tools like Data Factory, Data Lakes, Azure SQL, and storage solutions. Strong ETL background and experience with building data pipeline from scratch. Good understanding of data modeling, ETL/ELT, and performance tuning. Experience with data architecture Bonus points if you have: Knowledge of data governance and data quality tools. Some background in machine learning workflows. Familiarity with other clouds like AWS or GCP. Why You'll Love It Here You'll play a big role in shaping how we use data across the company. You'll get to work with the latest Azure tools and modern data platforms. Friendly, collaborative team where your ideas actually get heard. Solid pay, benefits, and opportunities to learn and grow.

An innovative biotech company is seeking a Global Head of Data Science to lead biostatistics and data management for their clinical trials. This strategic leadership role involves developing data strategies to accelerate drug discovery and ensuring compliance with global regulatory standards. The ideal candidate holds a PhD and has over 10 years of experience in biostatistics and oncology trials, with a strong focus on leading high-performance teams. Join us in transforming cancer treatment with groundbreaking therapies. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

A leading consulting firm in Washington, DC is seeking a Data Scientist to tackle public sector challenges using statistical programming and NLP. This fully remote role involves data preparation, model selection, and result visualization, requiring a Master's degree and at least four years of experience in relevant technologies. Competitive benefits, including bonuses and health care, are offered. #J-18808-Ljbffr

A leading fintech company is seeking a Staff Data Scientist to develop machine learning models that enhance financial products. The ideal candidate will have over 6 years of experience in data science, machine learning, and programming skills in Python and SQL. This remote-first role will involve collaborating across functions to solve complex business problems. Competitive pay, flexible health plans, and opportunities for growth are offered. #J-18808-Ljbffr

A global hospitality company is seeking a Senior Data Scientist to enhance experiences for users worldwide. You will collaborate with cross-functional teams, conduct in-depth research, and apply your expertise in causal inference. Ideal candidates have over 5 years of relevant experience or a PhD in a related field. This position allows for remote work with occasional office attendance, promoting an inclusive environment for diverse talents. #J-18808-Ljbffr

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Company and Position COMPANY: DataRobot Inc. POSITION: Senior Execution Data Scientist WORK LOCATION: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation 3 years of experience consulting with customers on end-to-end data science solutions 3 years of experience building and implementing machine learning or AI models into production Experience with each of the following: Machine learning and predictive modeling Building and implementing predictive models, data science, and complex statistical analysis Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries Developing predictive models, AI algorithms, and systems to generate significant business insights Integrating predictive models and AI algorithms into client environments Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization Experience requirements may have been satisfied concurrently. Terms of Employment Full time (40+ hours per week). $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #J-18808-Ljbffr

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.com. The role: We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business. #J-18808-Ljbffr

A fast-growing tech startup is hiring a Senior Data Scientist to drive exploratory analysis and model development for Real-Time Bidding and pricing systems. This fully remote role requires 5+ years of experience and expertise in ML tools like scikit-learn and TensorFlow. Candidates should excel in exploratory data analysis and have a deep curiosity about data's role in driving business outcomes. The position offers competitive pay, flexible vacation, and a collaborative company culture aimed at impactful work. #J-18808-Ljbffr

A progressive consulting firm in San Francisco is seeking a Senior Data Scientist to lead analytics on their Experiments Team. This fully remote role involves conducting analyses of voter data to drive strategic decisions. The ideal candidate will have over five years of experience, strong skills in project management, SQL, and predictive modeling. The position offers a salary range of $100,000-$119,000, exceptional benefits including unlimited PTO, and opportunities for career advancement. #J-18808-Ljbffr

A leading data engine company seeks a backend developer to work remotely. This role involves reviewing AI-generated code, creating backend solutions, and clear communication of coding concepts. Candidates should have strong expertise in server-side languages, 3-5 years of experience in backend frameworks, and a Bachelor's degree in Computer Science or related. Offering a flexible workload while improving AI models used by top labs and companies. #J-18808-Ljbffr

A cutting-edge tech startup is looking for a Full-Stack Engineer to work on its Cube Cloud platform. You will play a vital role in building user-friendly interfaces and robust backend APIs. With a remote work policy, this role offers the chance to contribute to innovative analytics-driven products while collaborating closely with cross-functional teams. The ideal candidate should have strong experience with JavaScript/TypeScript, modern frameworks, and backend technologies, coupled with good communication skills for a product-oriented mindset. #J-18808-Ljbffr

A technology company is seeking a highly skilled Product Engineer to join their robotics observability platform. This role involves designing user interfaces, backend services, and data processing for large volumes of sensor data. Candidates should have a minimum of 5 years in high-performance software, experience with REST APIs, and familiarity with technologies like TypeScript and Rust. The position is remote-friendly, with a supportive work environment and strong team dynamics. #J-18808-Ljbffr

A leading AI-driven data solutions company in California is seeking a Senior Software Engineer to enhance AI capabilities and build scalable data infrastructures. You will design robust data systems and integrate advanced AI solutions for data teams. Ideal candidates have strong backgrounds in Python, SQL optimization, and experience with cloud platforms. This role offers competitive salary and opportunities for professional development. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking a Senior Engineer to join the core platform team. The ideal candidate will build a reliable and extensible distributed data platform using AWS, Kubernetes, and Docker. Experience in high-scale data systems is essential as is a collaborative spirit in a remote-first environment. Join us to be part of our mission to revolutionize data usage for go-to-market teams. #J-18808-Ljbffr