Top Entry Level Data Science Jobs

Work with clients and engineers to audit marketing datasets, build analytics pipelines, and apply predictive models (segmentation, attribution, propensity) using SQL, Python, cloud big-data tools, and ML frameworks. Support implementations, develop analytic applications, and communicate findings to drive marketing outcomes.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The Associate Data Scientist will develop machine learning models, automate decision-making, and support AI solutions across various operations at UL Solutions, collaborating with multiple teams throughout the project lifecycle.

Contract data scientist to remotely gather, extract, and analyze technical information about AI models, benchmarks, data centers, and companies. Tasks include reading ML papers, tracking leaderboards, processing satellite images/permits, compiling infrastructure details, and producing data insights for research and policy. Part-time (10–30 hrs/week), flexible schedule with occasional Pacific Time meetings.

Onsite Data Scientist supporting intelligence-focused analytics and product development. Build Power BI dashboards, manipulate data with Python/SQL, create visualizations and lightweight web apps, communicate findings to nontechnical audiences, and translate customer requirements into specifications.

Collect, clean, validate and analyze data; identify patterns and trends; develop, train, and deploy predictive algorithms; create visualizations and reports using SQL, Python/R and tools like Tableau or Power BI; prepare administrative and statistical documents; work on-site to support agency programs.

As a Data Scientist at GLS, you will design data science solutions, develop predictive models, gather and clean data, and present insights to stakeholders while collaborating with business partners and IT.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

As a Data Scientist, you'll design and implement innovative models, conduct exploratory data analysis, and mentor others while developing scalable algorithms using machine learning techniques.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

The Data Scientist will support analytics initiatives, collaborating across functions to build models, map data, and solve business problems using data science techniques.