Data Scientist (Remote)

Jobgether; Massachusetts; Remote; USD 85,000 - 120,000; Full time

Job summary

A talent matching platform is seeking a motivated Data Scientist in Massachusetts to analyze complex datasets and drive business decisions through data insights. This position requires proficiency in Python, machine learning frameworks, and data analytics tools. Candidates should possess strong analytical skills and excellent communication abilities to convey findings to diverse stakeholders. Responsibilities include deploying models, conducting A/B testing, and collaborating on data-driven solutions.

Benefits

Flexible work arrangements

Professional development resources

Wellness programs

Qualifications

• Proficiency in Python and its libraries.
• Experience with SQL and data visualization tools.
• Strong analytical and problem-solving skills.

Responsibilities

• Analyze complex datasets and identify trends.
• Build and deploy machine learning models.
• Collaborate with teams for data-driven solutions.

Skills

Python

Machine learning frameworks

Data analytics tools

SQL

Data visualization tools

Statistical analysis

Problem solving

Communication skills

Tools

Pandas

NumPy

Scikit-Learn

TensorFlow

Power BI

Tableau

AWS

Azure

GCP

Spark

Databricks

Airflow

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in Massachusetts (USA).

We are seeking a motivated Data Scientist to join a results-driven environment where hands-on experience and practical impact are prioritized. In this role, you will work on real-world data problems, leveraging Python, machine learning frameworks, and data analytics tools to extract actionable insights and drive business decisions. You will engage with cross-functional teams to deploy models, design experiments, and communicate findings clearly to stakeholders. This position offers the opportunity to gain industry-relevant experience, strengthen technical skills, and develop a portfolio that demonstrates measurable contributions to business outcomes.

Accountabilities:

• Analyze complex datasets to identify patterns, trends, and actionable insights.
• Build, train, and deploy machine learning models using supervised and unsupervised techniques.
• Conduct A/B testing, statistical analyses, and validation to ensure model accuracy and reliability.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Develop dashboards and visualizations to communicate findings effectively to technical and non-technical stakeholders.
• Participate in data engineering processes including ETL pipelines, data cleaning, and database management.
• Document methodologies, results, and recommendations clearly for internal review and reproducibility.
• Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow.
• Experience with SQL, data visualization tools (Power BI, Tableau), and statistical analysis.
• Familiarity with machine learning techniques, NLP, and deep learning frameworks.
• Knowledge of cloud platforms (AWS, Azure, GCP) and data engineering tools like Spark, Databricks, or Airflow.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written and verbal communication skills to convey complex findings to diverse stakeholders.
• Ability to work independently and collaborate effectively in a team environment.

Preferred Qualifications:

• Experience with model deployment and business impact communication.
• Background in A/B testing, experimentation design, and performance monitoring.
• Previous exposure to large-scale, real-world datasets and production-level data pipelines.
• Hands-on experience with market-relevant projects across Data Science, Analytics, and Engineering.
• Mentorship and guidance from experienced professionals to accelerate career growth.
• Support for certifications such as IBM Data Science, AWS Data Analytics, or Microsoft Power BI.
• Mock interviews, portfolio building, and career placement support.
• Flexible work arrangements, professional development resources, and wellness programs.

Application Process

• 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!

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