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

Requirements

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

Benefits

Hands-on experience working with real-world data aligned with current market needs
Mentorship, mock interviews, and portfolio guidance to prepare for technical and behavioral interviews
Certification support for IBM, AWS, Microsoft, and other recognized industry credentials
Career-focused guidance, including recruiter introductions and placement support
Flexible and remote-friendly learning environment
Opportunities to build and showcase deployable projects in Python, SQL, and ML frameworks

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!