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Sr. Analyst Advanced Analytics and Data Science-India


Bangalore, KA, IN

REQ ID:  35803

With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 10,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.4 billion in revenues in fiscal 2019. Learn more at Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube.





Role: - Sr. Analyst, Advanced Analytics and Data Science – India


Job Summary

Sr. Analyst, Advanced Analytics and Data Science role will –

  • Help Kennametal further boost their Advanced Analytical capabilities.
  • Help business make smarter decisions and solve critical business problems by making a creative use of vast available data.
  • Work closely with stakeholders to understand their business requirements and apply the latest data science and advanced analytics to provide actionable insights to our business users.
  • Generate insights and articulate recommendations to business users to present analytical content concisely and effectively.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, improvement of product development, marketing techniques and business strategies.
  • Responsible for solving real work business problems with ML, DL and other advanced analytical techniques.
  • Will support our product, sales, finance, marketing, leadership teams with insights gained from analyzing company data.


Key Job Responsibilities

  • Identify high ROI use cases for Data Analytics and Machine Learning in collaboration with business stakeholders.
  • Understand Kennametal business process and identify necessary datasets needed to develop predictive models.
  • Be able to handle end-to-end steps related to ML models from data preparation, feature engineering, model building, model deployment and on-going monitoring of model accuracy/data drift.
  • Apply and develop appropriate advanced statistical, machine learning, and/or deep learning models and algorithms on both structured and unstructured data.
  • Develop analytics to drive insights from a wide variety of data sources to help us achieve a competitive advantage
  • Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
  • Design and conduct controlled experiments to validate and improve accuracy of models
  • Provide feedback to existing data collection/database management procedures to improve data quality
  • Promote and educate people without data science background on its principles and applications
  • Stay up to date with latest Machine Learning techniques, use cases and platforms.
  • Develop production-ready code for automating periodic runs of model and data refresh pipelines.



Required Skills: -

    • 5-8 years of experience in Machine Learning and Data Analytics preferably in the B2B space
    • Strong knowledge and Hand-On experience with using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience with end-to-end development and deployment of ML algorithms
    • Familiarity with public cloud offering like Azure/AWS; certified Azure Data Scientist preferred
    • Extensive experience with programming languages such as Python, R, and SQL
    • Experience with ERP systems like SAP a plus.
    • Experience working with colleagues/customers located in different countries.
    • Team player and a good communicator with both technical and non-technical stakeholders.
    • Experience with Data Science platforms such as Azure ML/Dataiku / Data Robot/ H2O AI a plus
    • Hands on experience with any of the visualization tools like Tableau, Power BI, etc. is a plus
    • Excellent Knowledge of ETL/ELT (Data extraction, data transformation and data load processes) on MSBI platform



Kennametal is an Equal Opportunity Employer 

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