Senior Data Scientist

SENIOR DATA SCIENTIST

PPG Industries, Inc., headquartered in Pittsburgh, PA has a work-at-home Senior Data Scientist position (with the ability to telecommute with appropriate telecommuting systems; the remote worksite must be within commuting distance of Pittsburgh, PA for weekly trips to the corporate office) responsible for contributing to specific business projects utilizing machine learning, computer vision, advanced statistical analysis, data mining, optimization, and data visualization methods to drive product and service development at the intersection of digital and physical sciences. Specific duties include: (i) devising and applying algorithms related to deep learning and reinforcement learning as well as evaluating AI/ML readiness and providing data to bridge gaps; (ii) visualizing data to discover and communicate opportunities in order to develop and scale AI solutions; and (iii) employing machine learning subfields including mulitvariate data analysis, clustering-based models, classification, regression models, and multi-objective optimization.

Must have a master's degree (or foreign equivalent) in Data Science, Finance, Mathematics, Statistics, or a related field plus two (2) years of experience in a related position.

Experience must include: (i) two (2) years with machine learning techniques; (ii) two (2) years with statistical tools including Python and R; (iii) two (2) years with data visualization and story telling; and (iv) one (1) year working with SQL databases.

Must have any experience with: (i) building machine learning models and optimization models; and (ii) Python coding.

Experience can be concurrent.

Must be willing and able to travel domestically and internationally up to 20% of the time to client, vendor, and/or other PPG office locations.

Apply online at careers.ppg.com.

Los rangos salariales y beneficios de PPG pueden variar segun la ubicacion, lo que nos permite compensar a los empleados de manera competitiva en diferentes mercados geograficos. PPG considera varios factores al tomar decisiones sobre compensacion, que incluyen entre otros, conjuntos de habilidades, experiencia y capacitacion, calificaciones y educacion, licencias y certificaciones, y otras necesidades de la organizacion. Tambien pueden aplicarse otros incentivos.

Nuestros programas de beneficios para empleados estan disenados para apoyar la salud y el bienestar de nuestros empleados. La cobertura y los beneficios del seguro se ajustaran a los terminos y condiciones de los planes aplicables y de los documentos rectores asociados al plan.