Luminoso: Senior Data Scientist

The Senior Data Scientist will be a key member of the Data Analytics and Machine Learning team that will be responsible for curating and analyzing large sets of business and operations data of Luminoso Technologies’ customers across several industry verticals. This is an opportunity to make an impact across multiple industries in a fast-paced environment where rapid prototyping and experimentation are prized.


This role will be responsible for analyzing the data and creating descriptive and predictive models, by applying physics and data science modeling techniques. The Senior Data Scientist will very closely work with Subject Matter Experts, Business Analysts and customers to rapidly understand the domain, and build, test and iterate the analyses and models to create high-fidelity automated analytics solutions. Responsibilities include but are not limited to:

  • Work closely with Subject Matter Experts to gain deep understanding of various business and operations related data sets.

  • Participate in data science workouts to shape data science opportunities and identify opportunities to use data science to create customer value.

  • Conceive, design and implement machine learning and advanced analytics solutions to improve various business KPIs.

  • Provide expertise in physics-based modeling towards high fidelity predictive capability Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories.

  • Communicate effectively with technical experts, business managers and customers.

  • Collaborate with cross-functional teams across multiple offices and regions.


  • Master’s or Ph.D. with specific focus on machine learning, advanced data analytics or closely related quantitative discipline.

  • Proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems.

  • Up to date with industry best practices for production-grade machine learning systems.

  • Proficiency with Python

  • Experience using version control (Git, Mercurial, SVN, etc.) for collaborative code development.


  • Experience with analytics development for industrial applications in a commercial setting.

  • Familiarity with high-performance languages such as Rust, Cython, or

  • Experience with PyTorch

  • System Engineering and API based integration experience for large production systems.

  • Excellent organizational, interpersonal, communication (writing and public speaking) skills.

  • Field experience working with customers and clients.