Data Scientist

Job Title: Senior Data Scientist Location: New jersey Contract Job Description: Technical Skills & Qualifications: • Programming: Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Familiarity with R, Java, or Scala is often preferred. • Machine Learning: Deep knowledge of supervised/unsupervised learning, deep learning (TensorFlow, PyTorch), and Natural Language Processing (NLP). • Data Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data tools like Spark, Hadoop, or Snowflake. • Mathematics & Statistics: Strong foundation in probability, linear algebra, calculus, and hypothesis testing (A/B testing). • MLOps: Experience in model monitoring, drift detection, and maintaining CI/CD pipelines for ML models. Core Responsibilities: • Model Development & Deployment: Design, build, and deploy production-ready machine learning (ML) models (e.g., predictive, classification, and time-series) to solve complex business problems. • Strategic Leadership: Identify high-impact opportunities for business improvement and translate ambiguous business challenges into structured technical requirements. • Data Mentorship: Guide junior data scientists through code reviews, best practices in model architecture, and career development. • Cross-Functional Collaboration: Partner with engineering, product, and marketing teams to integrate data science solutions into workflows and track their value against operational KPIs. • Stakeholder Communication: Present complex quantitative findings to non-technical executives in clear, actionable formats to influence business roadmaps. • Pipeline Management: Oversee the end-to-end data lifecycle, including data cleaning, feature engineering, and the creation of scalable ETL pipelines.