Senior Data Scientist
Pleasanton, CA
Full-time
Hybrid
1 month ago
About the role
Job Description
Must Have Technical/Functional Skill
Hands-on Experience On
(Needed for production-scale roles)
Roles & Responsibilities
Salary Range: $125,000-$145,000 a year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE
Must Have Technical/Functional Skill
Hands-on Experience On
- Programming Languages
- Strong Python familiarity (hands on) for data prep, modeling, and building ML components.
- SQL - Skills: joins, window functions, CTEs, query optimization
- Machine Learning
- Linear/Logistic Regression
- Decision Trees, Random Forest, XGBoost, LightGBM
- SVM, KNN
- Model evaluation - Precision/Recall, F1, ROC-AUC, MSE, RMSE
- Model tuning - Grid search, randomized search, cross validation
- Deep Learning
- Frameworks: TensorFlow, Keras, PyTorch
- CNNs, RNNs, LSTMs, Transformers
- Use cases: NLP, computer vision, time-series forecasting
- Data Wrangling & Preprocessing
- Missing data handling
- Feature engineering
- Data cleaning
- Outlier detection
- Normalization/standardization
- Data Visualization & BI Tools
- Python: Matplotlib, Seaborn, Plotly
- Tools: Tableau, Power BI
- Dashboards, reporting, storytelling with data
- Big Data & Cloud Tools
(Needed for production-scale roles)
- Big Data Frameworks: Spark, Hadoop
- Cloud Platforms (any one strongly):
- AWS (S3, EC2, SageMaker)
- Azure (Data Factory, Databricks, ML Studio)
- GCP (BigQuery, Vertex AI)
- Deployment Skills (advanced roles)
- Model deployment: Flask, FastAPI
- Docker, Kubernetes (optional)
- CI/CD basics
- Databases & Data Engineering Basics
- Relational: MySQL, PostgreSQL, SQL Server
- NoSQL: MongoDB, Cassandra
- Data pipelines: Airflow, Prefect (optional)
Roles & Responsibilities
- Define the ML use case, success metrics, and evaluation criteria; Liaise with business directly and translate business needs into an ML approach.
- Perform data exploration, data quality checks, feature engineering, and dataset preparation for training and testing.
- Build, train, validate, and iterate ML models; compare experiments and select the best candidate model.
- Package the solution f or production (e.g., containerized scoring/service endpoint) and support deployment with engineering/MLOps practices
- Set up basic monitoring (model accuracy/health) and support continuous improvement post release. Required Skills & Experience
- Solid foundation in ML concepts (supervised/unsupervised, evaluation, validation) and practical experimentation.
- Experience taking models to production in a cloud agnostic way (portable design; API/service mindset).
- Working knowledge of version control and basic CI/CD-style collaboration with engineering teams.
Salary Range: $125,000-$145,000 a year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE
Skills
IT Services and IT Consulting