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Data Scientist (Remote) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in Kentucky (USA) and Massachusetts (USA).. This role provides an opportunity to leverage data to generate actionable insights, improve business outcomes, and contribute to data-driven decision-making. You will work with structured and unstructured datasets, building predictive models, performing statistical analyses, and developing dashboards to communicate findings. The position combines hands-on technical work with collaboration across analytics, engineering, and business teams, offering exposure to modern data tools, machine learning frameworks, and cloud platforms. Ideal candidates are motivated by problem-solving, enjoy working with complex data systems, and are eager to see the impact of their work on real-world projects. Mentorship, technical skill development, and career-focused guidance are integral to the environment, supporting growth from learning to placement.. . Accountabilities. . Design, build, and maintain predictive and analytical models using machine learning and statistical techniques.. . Perform exploratory data analysis and feature engineering on large, complex datasets.. . Develop dashboards, visualizations, and reports to communicate insights to business stakeholders.. . Collaborate with data engineers, software developers, and business teams to ensure data quality, integration, and accessibility.. . Conduct A/B testing, model validation, and performance monitoring to ensure reliable results.. . Document methodologies, assumptions, and workflows to maintain reproducibility and knowledge sharing.. . Apply learned skills to real-world, job-aligned projects to strengthen both technical expertise and professional experience.. . . Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow.. . Experience with SQL and relational databases; familiarity with cloud data platforms (AWS, Azure, GCP) is a plus.. . Understanding of machine learning concepts, supervised/unsupervised learning, and deep learning techniques.. . Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms.. . Strong problem-solving skills, analytical thinking, and ability to translate data into actionable insights.. . Ability to collaborate effectively with team members, communicate findings clearly, and document work accurately.. . Open to new graduates, career switchers, bootcamp participants, and self-taught candidates with demonstrable skills.. . Nice to have:. . Experience with NLP, model deployment, A/B testing, or data engineering tools (Spark, Airflow, Databricks).. . Certification in IBM Data Science, AWS Data Analytics, or Microsoft Power BI.. . Exposure to statistical inference, KPI reporting, and business impact assessment.. . . Company Location: United States.