Data Scientist

Job Title: Data Scientist Company: Cummins Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: Leverages data science methodology to solve business problems. Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Communicates effectively \- Developing and delivering multi\-mode communications that convey a clear understanding of the unique needs of different audiences. Manages complexity \- Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Predictive Modeling \- Develops analytical or machine learning models by using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and quality control measures to generate predictive insights used in solving business questions. Statistical Modeling \- Develops descriptive and explanatory statistical models, and simulations for regression, classification, outlier detection, anomaly detection, time series forecasting using knowledge of foundational statistics such as null hypotheses significance tests, regression models, generalized linear modeling, time series analysis, rank statistics, probability distribution fitting survival analysis, etc. to validate hypotheses for any given statistical or business question. Problem Solving \- Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data\-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Ability to manage complexity and prioritize high\-value opportunities. Software Development: Knowledge of version control, testing frameworks, CI/CD, and secure development practices. Manages Complexity Role Category On\-site with Flexibility Work Location: Karnataka, India Availability: Full time

Programming \- Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Requirements Analysis \- Evaluates relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization. Education, Licenses, Certifications: College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience: Relevant experience preferred such as working in a temporary student employment, intern, co\-op, or other extracurricular team activities. * Background in processing and managing large data sets * Knowledge of big data, open source and third party toolsets * Experience in building analytical solutions Experiences in the following are preferred: Technical Skills Programming: Advanced proficiency in Python (NumPy, Pandas, scikit\-learn) and SQL. Deep Learning Frameworks: Experience with PyTorch, TensorFlow, and/or Keras. LLM \& GenAI Tools: Experience with Hugging Face, OpenAI APIs, LangChain, and prompt engineering. Big Data: Experience with Spark/PySpark and large\-scale data processing. Cloud Platforms: Experience with Azure ML, AWS SageMaker, and/or GCP Vertex AI. Model Deployment: Experience deploying models using MLflow, Docker, APIs (FastAPI), or similar frameworks. Experience Minimum 3\+ years of hands\-on experience in Data Science, Machine Learning, Artificial Intelligence, or related domains. Proven experience building and deploying end\-to\-end analytical or machine learning solutions in production environments. Experience processing and managing large, complex datasets. Familiarity with business systems, industry requirements, and data governance regulations. Experience validating and testing machine learning systems for reliability and scalability. Experience with MLOps tools and orchestration frameworks such as Airflow or Kubeflow. Experience with modern data platforms such as Databricks or Snowflake. Experience working with open\-source and third\-party big data toolsets. Prior internship, co\-op, student project, or relevant extracurricular experience in advanced analytics or AI is beneficial for early\-career candidates. Requirements Analysis Job Type Exempt \- Experienced Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, NumPy, NLP Salary: Not disclosed