Senior Data Scientist

Title: Senior Data Scientist – 10+ Years Experience

Location: Texas Preferred (Open to Relocation Across USA)

Work Authorization: H4 EAD, L2S, GC, USC preferred; OPT considered only for candidates with genuine 10+ years of experience

Note: Strictly NO C2C and NO Consultancy Resumes. Only W2 candidates will be considered.

About the Role:

Seeking an experienced Senior Data Scientist with a strong background in machine learning, statistical modeling, deep learning, data engineering, MLOps, and cloud-based AI platforms. The ideal candidate must have extensive experience building scalable ML pipelines, production-grade models, and data-driven solutions using modern tools and frameworks. Prior enterprise or MNC experience is highly preferred.

Key Responsibilities:

• Develop, train, validate, and deploy advanced ML and deep learning models

• Lead end-to-end development of data science solutions from ideation to production

• Work with large-scale structured and unstructured datasets

• Build automated ML pipelines using modern MLOps tools

• Apply statistical modeling, experimentation, and A/B testing techniques

• Work closely with engineering and product teams to integrate ML into production systems

• Develop feature engineering strategies, data preprocessing pipelines, and model monitoring frameworks

• Present insights, visualizations, and data-driven recommendations to leadership

• Evaluate new tools, frameworks, and techniques to enhance model performance

• Mentor junior Data Scientists and collaborate across cross-functional teams

Required Skills:

Core Data Science & Machine Learning

• 10+ years hands-on experience in ML, predictive modeling, statistical analysis

• Strong in regression, classification, clustering, time-series forecasting, anomaly detection

• Advanced knowledge of algorithms: Random Forest, XGBoost, CatBoost, SVM, KNN, GLMs, Gradient Boosting

• Deep understanding of probability, statistics, linear algebra, optimization

Deep Learning

• TensorFlow, Keras, PyTorch

• CNNs, RNNs, LSTMs, GRUs, Transformers

• NLP: BERT, GPT, spaCy, HuggingFace

• Computer Vision: OpenCV, YOLO, EfficientNet

Big Data & Distributed Processing

• Spark (PySpark), Hadoop, Hive, Kafka

• Databricks, Snowflake, BigQuery, AWS EMR

Data Engineering & Pipelines

• ETL/ELT pipelines, data wrangling, data quality frameworks

• Airflow, Prefect, Luigi

• Feature Stores (Feast, Databricks Feature Store)

Programming & Tools

• Python (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn)

• R programming (optional but preferred)

• SQL: PostgreSQL, MySQL, Oracle, Redshift

• NoSQL: MongoDB, DynamoDB, Cassandra

MLOps & Deployment

• Docker, Kubernetes, Kubeflow, MLflow

• CI/CD for ML pipelines

• Model deployment: AWS Sagemaker, Azure ML, GCP Vertex AI

• Model monitoring, drift detection, and model governance

Cloud & DevOps

• AWS (S3, Lambda, Glue, Redshift, EMR, SageMaker)

• Azure (Databricks, Synapse, Azure ML)

• GCP (BigQuery, Vertex AI, Dataflow)

Visualization & BI

• Tableau, Power BI, Looker

• Dash, Streamlit for model dashboards

Nice to Have:

• Experience with reinforcement learning

• Generative AI / LLM fine-tuning experience

• Knowledge of graph databases (Neo4j) and graph ML

• Exposure to microservices (FastAPI, Flask)

• Experience with data privacy, governance, and compliance frameworks

Preferred Candidate Profile:

• Minimum 10+ years of genuine Data Science experience

• Based in Texas or open to relocating anywhere in the USA

• Strong MNC/enterprise background

• Must strictly be on W2 status only

• NO C2C, NO 3rd parties, NO consultancy submissions

How to Apply:

Eligible candidates who meet the required experience and skill set can submit their updated resume. Only W2 candidates will be considered. Share your resumes at ramakrishna.p@precisiontechcorp.com