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TE Connectivity
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SR. DATA SCIENTIST

SR. DATA SCIENTIST

TE Connectivity

4 - 9 years

9 - 14 Lacs

Bengaluru

Posted:22 hours ago| Platform:

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Skills Required

hypothesis testing sql git data visualization python scikit-learn numpy tensorflow data science spark pytorch bigquery ml scipy snowflake airflow aws sagemaker machine learning pandas tableau lstm rnn statistical inference dask dash aws statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-CEducation ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview
Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.
Roles & Responsibilities
Key Responsibilities
Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift).

Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME).
Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies.

Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast).

Ensure data quality through rigorous validation and automated checks.
Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs.

Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches.

Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias.
Establish model tracking & registry (MLflow, SageMaker Model Registry).

Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions).

Monitor data & concept drift; trigger retuning or rollback as needed.
Design and analyze A/B tests, causal inference studies, and Bayesian experiments.

Provide statisticallygrounded insights and recommendations to stakeholders.
Translate business objectives into datadriven solutions; present findings to exec & nontech audiences.

Mentor junior data scientists, review code/notebooks, and champion best practices.

Desired Candidate
Minimum Qualifications
M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science.
5+ years building and deploying ML models in production.
Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git.Demonstrated success delivering largescale demandforecasting or timeseries solutions.Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining.Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave
Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data.Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake).Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan).Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication.
Competencies
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package

Performance-Based Bonus Plans

Health and Wellness Incentives

Employee Stock Purchase Program

Community Outreach Programs / Charity Events

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come
only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

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TE Connectivity

Appliances, Electrical, and Electronics Manufacturing

Galway Berwyn

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SR. DATA SCIENTIST