Top Data & Analytics Jobs

As a Sr. Data Scientist at Tracfone Wireless Inc., you will innovate and enhance customer experiences using machine learning and big data technologies. Your role includes analyzing business problems, developing algorithms, mentoring junior team members, and collaborating across functions to translate issues into data science solutions.

The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.

The Data Scientist will develop data products, maintain existing ones, and support data pipelines while utilizing machine learning techniques and advanced Python. Responsibilities include data preprocessing, delivering actionable insights to leadership, and collaborating with various functions to improve operations within Wellstar's healthcare setting.

As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.

The Senior Applied Data Scientist will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.

As a Senior Data Scientist at Angi, you will lead the development and deployment of predictive models to enhance user engagement and retention. Your role involves collaboration with cross-functional teams to build data-driven solutions, conduct model evaluations, and mentor junior members. You will innovate and drive the application of advanced data science techniques.

The Senior Data Scientist will develop and deploy machine learning models, optimize workflows for automation, collaborate with cross-functional teams to enhance reporting solutions, and ensure data integrity in AI/automation projects. The role focuses on generating predictive analytics and staying updated with AI/ML advancements.

The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.

The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.

As a Senior Data Scientist, you will develop fraud detection models, research new fraud types, maintain data quality, and write production code while collaborating across teams. This role requires deep domain expertise and the ability to drive product development and provide analytical insights to enhance sales and marketing efforts.

The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.

The Data Scientist will build and maintain predictive models, analyze data to provide insights for business decisions, and generate complex analyses. Responsibilities also include monitoring model recalibrations and reviewing quality controls for corporate data transformation and model scoring.

Senior Data Scientist role at Pilot Company, responsible for solving complex business problems through data analysis, modeling, and experimental design. Collaborate with stakeholders to identify opportunities for data science solutions that drive commercial value. Master's degree in statistics, econometrics, or data science required, along with 5-7 years of industry experience. Proficiency in Python, R, SQL, and machine learning is essential.

As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.

The Data Scientist will leverage analytical skills in data processing, modeling, and visualization to evaluate investments and identify growth opportunities across various industries. Responsibilities include data analysis, model development, creating visualizations, collaborating across functions, and driving the use of AI technologies.