Senior Data Scientist (10+ Years Experience) - Machine Learning, Deep Learning, MLOps, Cloud AI
Precision Technologies seeks a Senior Data Scientist with 10+ years of experience in ML, deep learning, and MLOps. The role involves building scalable ML pipelines and production-grade models using cloud platforms. Candidates must be W2 employees and eligible to work in the USA.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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