Data Science & Machine Learning Jobs

Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.. Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.. and web-app development stacks (e.g. Flask/Django). Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO.

Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.. Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.. and web-app development stacks (e.g. Flask/Django). Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO.

Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA). Join to apply for the Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) role at Hopper. More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Air Canada, and Spirit Airlines.. We help our product teams deliver new fintech products to market faster, respond rapidly to changing market conditions, run continuous champion-challenger testing on product construction levers, and maintain our growing portfolio of pricing models across dozens of partners.. Get notified about new Machine Learning Engineer jobs in Washington, DC.

Extract, transform and load (ETL) structured and unstructured data into Databricks Unified Analytics Platform.. Perform analytics in Databricks Unified Analytics Platform.. Experience applying data science techniques, including machine learning, deep learning, statistical modeling and/or data visualization to solve challenging business problems.. Experience in one or more programming languages (Python, R, Java, Scala, SAS, JavaScript) and Linux scripting.. Experience in Databricks products, or extensive experience in Apache Spark.

We are members of the Platforms for AI team, within the Artificial Intelligence (AI) organization, working with data, machine learning, and experimentation-focused engineers and scientists to build a powerful experimentation platform and scale Zillow’s data-driven culture.. Act as a leader in experimentation, crafting long-term technical strategy, proactively identifying challenges and opportunities, and making recommendations that shape the platform's evolution. Technical expertise in one or more of the following stacks: React/NextJS, iOS, Android, Node, Java, Go, Python. Experience with Databricks (for data and/or ML use cases). It’s living where you want, and wrapping your work around your life instead of vice versa.

With a team of professionals who combine experience, creativity, and commitment, we are a Microsoft consulting firm in full international expansion.. We have an important presence at national level, accompanied by a growing international expansion, being already in the USA and Qatar, we have developed projects for clients of all sorts of industries, solutions, and geographies, such as John Deere, Avangrid, Burger King, Merz Aesthetics or Ferrovial, among many others.. Knowledge and experience with Scikit-Learn, Tensorflow, PyTorch, XGBoost.. (Desirable) Experience with Databricks.. We do not differentiate between race, color, religion, age, sex, nationality, disability, genetics, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local legislation when incorporating new professionals into our company.

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone.. As the Senior Principal Machine Learning Engineer in the Artificial Intelligence group, you will be a key player in defining and executing the technical roadmap for the team, as we develop the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency.. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.. In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.

Provide technical leadership to more junior Data Scientist team members.. Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science required. Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science. Perks & Discounts -Theme Park Tickets, Gym Discounts & more. The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand.

This program offers hands-on training and real-world project experience in both front-end (HTML, CSS, JavaScript) and back-end (Java, RESTful APIs, Spring Boot) technologies, with exposure to AI tools and practices.. Digital transformation through emerging technologies such as Cloud Computing, Cybersecurity, Data Analytics, and Artificial Intelligence.. You will gain practical experience in Full-Stack Java Development and exposure to cutting-edge technologies, including Artificial Intelligence (AI), enabling you to thrive in todays tech-driven landscape.. AI Integration: Explore basic AI concepts and tools, such as natural language processing and predictive modeling, to enhance application capabilities.. Foundational Skills: Basic knowledge of Java and front-end technologies (HTML, CSS, JavaScript).

The Data Scientist will participate as a key team member in envisioning, designing, coding, testing, and improving the algorithms that are central to our mission as a company.. Actifai is part of Foundry.ai, a technology fund/studio that creates AI software companies in partnership with large global enterprises.. Foundry is backed by approximately $100MM in capital from leading private equity and venture capital partners.. Well-rounded top performer who is able to “crunch the numbers” one minute, and critically think through strategic issues the next.. Exceptional computational background (e.g., developed new algorithms and/or has a relevant PhD).

We are seeking a versatile and results-driven Data Engineer to join the USDS Cyber Defense & Engineering team at TikTok. In this role, you'll collaborate with cross-functional teams across regions to develop innovative solutions that strengthen the security and privacy of our users, helping make TikTok the most trusted platform.. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.. At TikTok, our mission is to inspire creativity and bring joy.

The Chief Digital and Artificial Intelligence Office (CDAO) is a Principal Staff Assistant (PSA) responsible for the acceleration of the adoption of data, analytics, and Artificial Intelligence (AI) to generate decision advantage across the Department of Defense (DoD).. Whether you're a seasoned engineer, research scientist, or technologist passionate about building real-world AI capabilities, we invite you to join our talent pipeline and explore impactful opportunities that directly support the Department of Defense (DoD).. Artificial Intelligence & Machine Learning: Development, deployment, and optimization of AI/ML models for real-world mission use cases.. MLOps & Data Engineering: Automating and optimizing ML pipelines, model deployment, and data infrastructure at scale.. AI Policy, Ethics, & Assurance: Applying responsible AI frameworks, fairness audits, and model risk evaluation.

DECipher is an AI-powered platform developed by the Institute for Development Impact (I4DI) to help global development professionals access and interpret decades of USAID-funded learning.. It draws from one of the largest public document archives in international development, transforming raw PDFs into structured insights using modern machine learning techniques.. Develop and manage text extraction workflows using Python and NLP tools. How NLP systems are adapted to real-world, domain-specific use cases. Current student, recent graduate, or early-career professional with experience in Python and interest in NLP, machine learning, or data engineering

Programming proficiency in cloud data ecosystem using Python, R, or Scala (min 2 years). 2+ years utilizing large-scale Analytic/MPP data warehouse platform (Redshift, Snowflake, databricks, etc.). Highly proficient in engineering data pipelines using big data tooling (Spark, Hudi, Kafka). Highly proficient working in AWS cloud environment (S3, Cloud Formation, RDS, AWS Glue, Athena, EMR, Kinesis, Redshift, MWAA). Exposure and experience with multiple platform stacks and tooling (Snowflake, DBT, Airflow Orchestration, etc.)

PRISM integrates advances in genetic cell barcoding, multiplexed expansion microscopy, and ML reconstruction to solve key bottlenecks in data acquisition and analysis.. Deploy developed models in large cluster or cloud environments to apply them to imaging volumes of hundreds of TBs and PBs in size. PhD in computer science, machine learning, applied math, computational biology or a related field in science and/or engineering or PhD-equivalent publication history. Collaborated with academic and industry experts on scaling up ML segmentations solutions (i.e. Volara) to work on datasets of hundreds of TBs or PBs. This position is structured for fully remote work, with in-office visits for quarterly planning and adhoc hackathons.

We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.. PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience. PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series). This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Assistant Vice President, Human Resources at the Association of American Railroads DATA SCIENTIST/DATABASE ADMINISTRATOR. The Association of American Railroads (AAR), the worlds leading railroad policy, research, standard-setting, and technology organization, is focused on enhancing the safety and productivity of the U.S. freight rail industry.. The Data Scientist is responsible for managingcloud database administration while demonstratingexpertise and proficiency in big data tools (e.g., SQL, Python, R, and SAS), along with a strong backgroundin data visualization for the AAR. This high-impact role will drive data analytics, automation, and storytelling to enhance AARs internal data capabilities and support key economic and policy analyses.. Experience with Microsoft Azure (Azure Functions, Power Automate, Data Factory, Synapse, SQL Server, or related cloud technologies) is strongly preferred.. Reporting to the Manager of Economic Analysis and Policy, thisrole is an exciting opportunity for a data-driven professional to shape AARs analytics and data infrastructure, ensuring that data science plays a critical role in advancing freight rail policy and economic research.

Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings.. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report.. By leveraging advanced coding, analytic reporting, and predictive modeling, the Clinical Data Analyst - Staff uncovers actionable insights that drive innovation and improve outcomes across the organization.. Experience with data in Snowflake on Cloud Platforms. Experience using statistical computer languages (SQL, Python, R) to manipulate data and generate insights from large data sets

Senior Manager I, Data Science and Analytics Join to apply for the Senior Manager I, Data Science and Analytics role at Inroads. Join to apply for the Senior Manager I, Data Science and Analytics role at Inroads. Advanced understanding of statistical programming languages, preferably SQL, R, and/or Python. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.. Principle Geospatial Scientist (Data Collection/Quality Manager) Life Sciences - Manufacturing AI Solutions, Manager McLean, VA $130,800.00-$241,000.00 1 week ago

7–10 years of hands-on experience in areas such as personalization, ranking systems, search technologies, natural language processing (NLP), deep learning, and other core machine learning methodologies.. Familiarity with cloud-native platforms such as Google Cloud Platform (GCP), AWS, and Vertex AI is a plus.. Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Traumatic brain injury