Data Scientist - (Return-to-Work Program)

We have several active full-time positions with our direct clients and implementation partners across the United States (No C2C).| Full-Time Roles Only.

Client Location : New York, New Jersey, Texas, Georgia, Pittsburgh, Pennsylvania, Connecticut, Massachusetts, Chicago IL & North Carolina.

📢 #SheReturns We welcome applications from candidates looking to restart their careers after a break! Make your comeback possible. New Beginnings Return-to-Work Program for Women is here to support you in your transition back into the professional world after a career break.

• Title: Data Scientist (Full-Time)
• What We’re Looking For:
• Minimum 5+ years of experience in designing, developing, and deploying machine learning, statistical modeling, and advanced analytics solutions to solve complex business problems.
• Expertise in Python, R, SQL, Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, and other data science and machine learning frameworks.
• Experience developing supervised and unsupervised machine learning models, including classification, regression, clustering, recommendation systems, anomaly detection, and predictive analytics.
• Understanding of statistics, probability, hypothesis testing, feature engineering, model evaluation, A/B testing, and experimental design.
• Experience with data wrangling, exploratory data analysis (EDA), feature selection, data cleansing, and processing structured, semi-structured, and unstructured datasets.
• Experience working with Big Data technologies including Apache Spark, PySpark, Hadoop, Databricks, Snowflake, Kafka, and distributed data processing platforms.
• Experience building and deploying AI/ML models on cloud platforms such as AWS, Azure, or GCP, utilizing services like SageMaker, Azure Machine Learning, Vertex AI, or similar technologies.
• Knowledge of SQL and NoSQL databases, data warehousing concepts, ETL/ELT pipelines, and working with databases such as PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, and DynamoDB.
• Experience creating interactive dashboards and visualizations using Tableau, Power BI, Matplotlib, Seaborn, Plotly, or other data visualization tools to communicate actionable business insights.
• Experience with MLOps, model deployment, CI/CD pipelines, Git, Docker, Kubernetes, MLflow, and model monitoring for production-grade machine learning applications.
• Understanding of REST APIs, data engineering workflows, cloud-native architectures, model optimization, performance tuning, and scalable AI solution development.

📢Please reach me at 732-348-5149 or you can send me your updated resume at [email protected]

📢 Next Steps:- I apologize in advance if there is a delay in my response. Please be assured that I will get back to you at the earliest opportunity. All applications will be reviewed carefully, and we sincerely appreciate your patience and understanding during this process.