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Dir, Data Science

3 months ago


Bengaluru, Karnataka, India Lam Research Full time

Responsibilities:

  • Leads high performing teams consisting of Managers, Data Scientists and Architects with focus on Business Analytics, Data Engineering and Data Sciences
  • Delivers Rapid Prototypes, Experiments, Hypothesis testing and Adhoc Analysis to arrive at datadriven decision making to solve complex business problems in Global Operations, Supply chain, and Manufacturing disciplines
  • Conceptualizes new ideas into solutions to solve identified business problems with Analytics & Automation and constantly looks out to optimize analytics solutions to our customers
  • Enforces software development standards, maintains process checkpoints to ensure adherence to design standards and creates/improves metrics for the organization to arrive at data driven decisions
  • Drives high quality and ontime delivery of solutions while adhering to the software development standards
  • Develops and owns Analytics roadmap for our customers, provides best in class analytics solutions for the problems at hand
  • Collaborates closely with overseas counterparts, and adjacent technical functions in a crossfunctional environment
  • Works with leadership peers to drive process improvements as necessary

Minimum Qualifications

Years of Experience:
Minimum 15+ years and years of supervisory experience

Job Experience:
Experience in Building and Managing large technical & Analytics Teams.

Strong Expertise in Data, BI, Web Applications, Advanced Analytics, Data Science & Enterprise Architecture.

Education:
Master's / Bachelor's Degree: Computer Science/ Engineering /Mathematics / Statistics / Business Administration (Systems & operations)

  • Leadership skills, recruiting, coaching & mentoring, motivating, decision making and driving positive change
  • Prior experience in managing multidisciplinary teams of technical individuals simultaneously working on multiple projects
  • Hands-On experience in building and managing large Analytics and Data Science projects with strong expertise in data mining and statistical analysis to deliver solutions for Supply Chain/ Manufacturing/Operations Industry.
  • Strong working knowledge and experience in Enterprise & Data Architecture, Database Design, Profiling, Modeling, SAP HANA/SQL Server, BI and Visualization tools Power BI
  • Practical experience with SAS, ETL, data processing, database programming and data analytics
  • Excellent pattern recognition and predictive modeling skills
  • Ability to work with local & global stakeholders in a matrix environment, interacting and presenting in front of Clevel executives
  • Excellent verbal, written, and clear communication skills, able to communicate crossfunctionally

Preferred Qualifications

  • Knowledge of Business Systems like Kinaxis, Supply Chain Guru, SPM, SAP ECC, SAP S/4, Microsoft Dynamics
  • Experience with programming languages such as Java/Python, Big Data platforms such as Hadoop, Hive, Spark, Java, Web API, GPU Clusters for DL
  • Hands-On Working Experience on Azure Cloud. Experience in Web Apps(.NET), Power Platform

Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.