Top Data Science Jobs in San Antonio, TX
Seeking a skilled Behavioral Scientist on a contractual basis to develop evidence-based interventions for adult learners returning to school. Responsibilities include translating academic challenges into actionable strategies, adapting interventions across multiple channels, collaborating with marketing and product teams, and applying expertise in higher education and adult learning principles.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Decision Science Analyst Senior role involves providing analytical support across the enterprise by leveraging mathematical and statistical techniques to solve complex business problems, synthesize data, and develop actionable recommendations for management. Responsibilities include collaborating with cross-functional teams, translating analysis into presentations, and incorporating visual techniques to communicate insights effectively.
The Multi-omics Bioinformatics Scientist will lead gene discovery research through modern tools for identifying genes and their associated traits. Responsibilities include managing and analyzing sequencing experiments, collaborating with cross-functional teams, maintaining organized data practices, and communicating project updates to stakeholders.
As a Data Scientist at iHeartMedia, you will provide research, modeling, analysis, and guidance using advanced analytics and data science techniques. Your role will support data-driven decision making through innovative business solutions.
As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.
You will train and apply predictive machine learning models to drive drug discovery programs, collaborating with teams to solve chemical design challenges and improve data processes. The role involves communication with both scientific and engineering teams to combine expertise in computational methods and biological insights.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
Looking for a Distinguished Engineer with 18+ years of experience in cloud architecture, data science solutioning, and machine learning design. Must have strong expertise in Python, Java, C#, and cloud platforms like AWS, Azure, or Google Cloud. Responsibilities include solution design, Agile practices, SOA, and microservices architecture.
Seeking a Staff Engineer in Data Science to go beyond coding and tackle client challenges while taking solutions to the next level. Join a dynamic and non-hierarchical work culture at a digital product engineering company.
Staff Engineer in Data Science role at Nagarro, a digital product engineering company. Responsibilities include developing products, services, and experiences, collaborating with team members, and solving complex challenges for clients.
The PQC Research Scientist role involves conducting research in post-quantum cryptography, designing new cryptographic primitives and protocols, and validating innovative constructions. Candidates are expected to have a solid background in cryptography and programming experience is preferred.
The Research Scientist will focus on functionalizing next-generation cryptographic systems, particularly in Privacy-Enhancing Technologies (PETs). Responsibilities include researching, designing, and collaborating with a team of cryptographers and ML experts to enhance cryptographic protocols and ensure the effective enablement of these technologies.
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