Lead Data Scientist

Job Locations US-TX-Austin | US-PA-Philadelphia
ID
2022-2748
Category
Engineering
Position Type
Regular Full-Time

Overview

Lutron is seeking a seasoned and passionate Data Scientist to lead data science projects that will inform strategic business decisions.  In this role, you will play a key role in shaping the strategic direction of a growing team that is focused on applying data science, machine learning, and algorithms to various Lutron engineering and business challenges.  You will apply your knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative propositions, mentor junior team members, contribute to intellectual property, and build and pilot first-of-their-kind demonstrations.

Responsibilities

  • Lead and contribute to data science projects to enable informed business decisions, improve operational efficiency, and develop new products
  • Coach and mentor junior data scientists by taking a hands-on approach to leadership that motivates and supports our junior talent
  • Directly supervise 1 - 4 junior data scientists, providing timely feedback and career direction
  • Engage with business stakeholders and technical leads to identify needs, define problems, identify data sources, and formulate data-driven approaches to address challenges
  • Convert ambitions and requests into project requirements and an executable plan
  • Work independently or with the data science team on creating and implementing the solutions to answer business stakeholders’ needs
  • Ensure quality of outcomes from EDA and ML efforts
  • Present insights found from EDA and modeling to stakeholders to tell the story while identifying drivers and opportunities of business performance
  • Determine use cases and work with business and technical stakeholders to implement the solutions

Qualifications


  • Degree in Computer Science, Data Science, Data Analytics, or Statistics (Master's or PhD preferred)

  • Minimum, cumulative GPA of 3.0 

  • 8+ years of industry experience working on data science or related projects

  • Experience leading data science projects, working with business stakeholders, and mentoring junior data scientists

  • Proven technical skills on machine learning/AI with proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning Strong technical knowledge on big data technologies, cloud, and opensource software tools

  • Experience and passion in transforming ML models into production codes and deploying into production environments

  • Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, PyTorch, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc).

  • Proficiency with Python, R, and/or Scala

  • Proficiency with SQL and NoSQL databases


Lutron Electronics’ position as the leading manufacturer of lighting controls worldwide, our unsurpassed quality, the breadth and depth of our product offerings, and our commitment to servicing our worldwide customers have resulted in annual double-digit growth. This growth has allowed the company to continue to invest in finding and retaining the best people we can find to service our customers. Continuous growth has also fueled our ability to constantly develop new technologies and processes that drive the creation of new or better products, solutions, and services.


 


Lutron offers a competitive compensation and benefits package and a dynamic and professional work environment. We also offer continued growth through increased job responsibilities, courses offered through Lutron University and advancement opportunities. 


 


For more information, view our website at  www.lutron.comLutron Electronics is an Equal Opportunity – Affirmative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics

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