Data Scientist (with prior Data Engineering experience): Charlotte , NC

Role: Data Scientist (with prior Data Engineering experience)
Location: Charlotte, NC (Onsite In-person Client Interview Required)
Duration: Long Term Contract

Visa : , , -ead , L2-ead

Job Description

We are seeking a Data Scientist with around 1 year of hands-on data science experience and a strong background in data engineering to join our client's analytics team in Charlotte, NC. The ideal candidate should possess a solid understanding of data pipelines, data modeling, and machine learning techniques, with the ability to translate business problems into actionable analytical solutions.

Key Responsibilities

• Develop and deploy machine learning and statistical models to solve business problems and deliver insights.
• Work on data preparation, feature engineering, and model training using structured and unstructured data.
• Utilize NLP (Natural Language Processing) techniques for text data analysis and insights extraction.
• Leverage prior data engineering experience to build efficient data pipelines and ensure data availability for analytics.
• Collaborate with cross-functional teams to define data requirements and analytical goals.
• Use Python, SQL, and visualization tools to communicate findings effectively.
• Evaluate model performance, fine-tune algorithms, and deploy models in production environments.

Required Skills & Experience

• 1+ year of experience as a Data Scientist (professional).
• Previous 4-5 years of experience as a Data Engineer (strong advantage).
• Solid understanding of data modeling, ETL processes, and data pipeline development.
• Hands-on expertise in Python (Pandas, NumPy, Scikit-learn, PySpark).
• Experience with NLP libraries (NLTK, spaCy, Transformers) for text analytics.
• Proficiency in SQL and exposure to big data tools like Databricks, Spark, or Airflow.
• Knowledge of machine learning techniques such as regression, classification, and clustering.
• Familiarity with cloud data environments (AWS, Azure, or Google Cloud Platform).

Preferred Skills

• Exposure to deep learning frameworks (TensorFlow, PyTorch).
• Experience with data visualization tools (Tableau, Power BI, or matplotlib).
• Understanding of MLOps concepts and model deployment.
• Strong analytical thinking and problem-solving mindset.