Top Data & Analytics Jobs

The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.

The Bioinformatics Data Scientist will develop and optimize computational pipelines using Nextflow, manage data visualization tools, and integrate and maintain data solutions for drug development. Collaboration with cross-functional teams and troubleshooting existing systems are key responsibilities, along with staying updated on bioinformatics technologies.

As a Data Scientist at Equifax, you'll analyze complex data sources and develop analytical solutions, collaborate on predictive models, and create AI and ML deployments using Google Cloud Platforms. You will visualize findings for management and work on various analytical tasks across different domains.

The Sr Data Scientist will perform advanced data analysis, develop machine learning models, and collaborate with mission stakeholders to address complex challenges related to big data interventions. Responsibilities include data extraction, transformation, and predictive model development while ensuring effective communication of project outcomes to diverse audiences.

As a Principal Data Scientist at Astera Labs, you will develop innovative data collection strategies, apply advanced statistical methods and machine learning algorithms, and architect cloud-native solutions for managing data pipelines. You will collaborate with hardware and software teams to drive data-driven decision-making and establish analytics frameworks.

As a Staff Data Scientist in the Rider Segment at Lyft, you will utilize analytical skills to influence business decisions, optimize rider experiences, and develop data-driven products. Responsibilities include roadmap driving, partnership with product and engineering teams, applying advanced analytics, and mentoring junior members.

As a Data Scientist II at Valo Health, you will connect data science, tissue engineering, and drug discovery efforts. Responsibilities include developing computational models, data pipelines, and machine learning tools to enhance the understanding of human tissue models. You'll work collaboratively with scientists to analyze datasets and present findings, while ensuring data integrity and aiding in experimental design.

The Sr Data Scientist will develop and implement advanced machine learning models and algorithms to optimize search and ranking systems at Target. Responsibilities include data exploration, model development, and collaboration with cross-functional teams, focusing on leveraging large datasets and innovative solutions in a fast-paced environment.

As a Staff Data Scientist at Penn Interactive, you will lead the design and implementation of personalization strategies to enhance user engagement for ESPN Bet. Your responsibilities include collaborating on impactful data science projects and leveraging advanced techniques to drive business solutions, all while ensuring smooth integration with engineering teams and staying updated on trends in data science.

As a Staff Data Analyst at Aurora, you will work cross-functionally with Engineering teams to develop metrics, automate processes, and provide data-driven insights. Your role encompasses designing dashboards and supporting critical validation activities, leveraging extensive data from various test modalities to enhance the Aurora Driver's development and commercialization efforts.

Belay Technologies seeks a Mid-Level Data Scientist for their intel team to analyze large data sets, create visualizations, and design algorithms in the cyber domain. The role requires handling DataFrames and incorporating SME input, emphasizing data analysis and anomaly detection.

As a Data Annotator, you will label and curate data to train AI models through tasks such as annotating images, tagging text, and generating educational content. You will ensure high-quality data for accuracy and performance in AI systems, requiring STEM expertise, attention to detail, and the ability to review your work consistently.

The Senior Data Scientist develops advanced analytical and machine-learning solutions to optimize user engagement and retention in mobile applications, working closely with stakeholders. Responsibilities include data analysis in BigQuery, developing predictive models, conducting A/B tests, mentoring junior team members, and presenting strategic insights to leadership.

The Senior Data Scientist will develop AI solutions and deploy machine learning models, particularly in Generative AI and NLP, while maintaining MLOps processes and conducting complex data analysis and visualization. This role involves collaborating with team members and clients to deliver impactful projects and staying updated with AI/ML advancements.

As a Data Scientist at Databricks, you will analyze and interpret data to derive insights for product design and customer acquisition strategies. You'll manage projects from start to finish, collaborating with cross-functional teams and applying various data science methodologies and machine learning techniques.

As a Sr. Data Scientist II, you will design, develop and optimize AI/ML models and collaborate with cross-functional teams. Responsibilities include managing AI/ML components throughout their lifecycle, utilizing cloud resources for performance optimization, and applying analytical methodologies for data challenges. Stay updated on AI advancements and support the integration of solutions into products while maintaining documentation.

As the Founding Data Lead, you will build and implement AI and machine learning models for decision making, develop data architectures and pipelines, and optimize data quality and performance. Your role includes hands-on model development and long-term leadership as the company scales.