Top Data & Analytics Jobs

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.

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.

The Data Scientist is responsible for developing code and documentation for software projects, defining specifications, troubleshooting software issues, and compiling data for reports and analysis. This role involves interfacing with both internal and external customers to analyze requirements and ensure effective problem-solving within the team.

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.

In this role, you will execute complex business challenges and maintain relationships with key stakeholders by leveraging data and analytics to provide actionable recommendations. Responsibilities include managing analytical projects, supporting sales markets, and delivering insights to drive profitable growth across PayPal's product portfolio.

As a Data Scientist on the Rider team at Lyft, you will apply analytics and modeling techniques to influence key business decisions. Responsibilities include shaping product vision, designing A/B experiments, collaborating with cross-functional teams, and providing technical guidance to junior members. You'll drive strategic initiatives and present data-driven insights to stakeholders.

The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.

The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.

The Junior Data Scientist role involves leveraging generative AI technologies for tax administration enhancements. Responsibilities include processing and analyzing large datasets, developing predictive models, collaborating with cross-functional teams, and presenting insights to stakeholders. IRS security clearance is required.

The Data Scientist will be responsible for automating data collection, preprocessing data, identifying trends, developing databases, and collaborating with teammates. The role requires strong problem-solving skills and a background in statistics, with experience in Python or R.

As a Data Scientist at Flip Shop, you will leverage data and user-generated content to enhance the shopping experience and drive growth. Your responsibilities include developing data science solutions, collaborating across departments to derive insights, and implementing key performance indicators to monitor initiatives. You will use advanced coding and statistical techniques to address complex business problems.

The Data Scientist will leverage data science techniques to extract insights from customer data, develop predictive models, and implement machine learning algorithms to enhance customer segmentation and personalization. The role involves collaboration with cross-functional teams, the creation of visualizations, and continuous monitoring of model performance.

The Senior Data Scientist at Behaivior will lead machine learning and data science initiatives, providing technical guidance for the team. Responsibilities include participating in challenging projects and supporting research efforts as the primary liaison for technical assistance.

The Junior Data Scientist will support the DoD's integrated biosurveillance program by designing and implementing informatics and data science solutions. Responsibilities include applying analytical methodologies, developing data models, documenting requirements, and utilizing advanced data tools to analyze large datasets.