Data Scientist (Remote) at Jobgether

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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 . 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.. Company Location: United States.