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Principal Data Scientist

Bengaluru, KA
Job Code:
  • Manufacturing & Production
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Job Details

This position has a high impact on production and revenue risk, and is a fast paced role interfacing with Cross functional teams like Engineering, Supply chain, Marketing, & customer support team across various sites of Honeywell. Be responsible for coordinating resolution of component obsolescence issues impacting supported products. Each OMT is comprised of representatives from Components Engineering, Product Engineering, and Materials Management LTB Planning and Procurement, and Marketing and Product Management (M&PM.) The OMT Case manager manages resolution efforts for issues impacting Product business performance with the Product Managers in M&PM and prepares Customer Business Team Program Managers for obsolescence updates to our customers. They occasionally interface directly with both customers and suppliers. Position is located in BangaloreKey responsibility includes working closely with multiple business leaders to ideate and discover customer problems and provide actionable decisions in a highly iterative delivery model.2) Work on fuzzy problem statements and iteratively refine the problem and deliver tangible and timely actionable solutions working with a team of Data scientists, Data Engineers, Implementation Architects and IT team.3) Engage closely with global team of Domain experts, Data scientists, Data Engineers & Product managers to create business impacting actionable insights in a multi-disciplinary environment.4) Leverage tools, processes and procedures to create, manipulate, and manage very large data sets (data science platform engineering) to deliver business impacting analytics.5) Develop, document, and transfer analytics dashboards, algorithms to Honeywell businesses technology groups to enable new product and service offerings.6) Mentor Junior Data scientists & data engineers, participate in review peers and help the team leadership and management in planning and execution activities.7) Keep a pulse on technology trends and competition and help the organization to hire and partner with best talent.8) Define strategic direction and drive platform initiatives.Basic QualificationsBachelors degree in computer science, statistics and relevant fields, with 12-15 years of hands-on relevant experience in delivering actionable Data Analytics deployed in production.Must have consistently delivered business impacting analytics in multiple domains.Must have end-end hands-on experience in delivering & implementing Big data analytics in production. Must have skills, such as Synthesizing data, defining the problem, feature engineering, building the model, deploying the same in production.Demonstrated analytical and quantitative skills using data mining, machine learning, or graph mining.Demonstrated Machine learning techniques for classification, regression, clustering, text analytics, deep learning & time-series data etc.Experience working with large unfiltered data sets using distributed computing tools such as Spark, MapReduce, Hive, PigFluency in a programming or scripting language (e.g. Python, Scala, Ruby, Java) for fast prototyping and significant knowledge of core library and common design patterns.Strong data & visual presentation skills and ability to explain insights using tools like tableau, D3 charts or other tools.Excellent knowledge and experience of statistical analysis tools such as R.Excellent knowledge and experience in multi-structured data modeling and NoSQL technologies such as HBase and Cassandra.Very good experience in large scale development & deployment processes, tools and platform.
Degree: ME/ M.Tech./ MS (Engg/ Sciences)

Additional Degree: BE/ B.Tech (Engineering)

Experience: 12-15


Application Programming | Business/Systems Analysis | Database Administration (DBA) | Software Engineer
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