Senior Data Scientist

Ecolab is looking for a talented Senior Data Scientist in Pune R&DE center to work in-house innovation hub chartered with creating big data analytics and data science innovation to derive valuable insights driving business and commercial successes.  Ecolab ranks 93rd in Forbes top 100 most innovative companies in the world. Our technologies help our customers across a broad spectrum of segments spanning from institutional to industrial and oil/gas industries succeed by getting visibility into their processes and generate actionable insights to help us fulfill our mission of Safe Food, Clean Water Healthy Environments, and Abundant Energy.   
 
Responsibilities

• Work in nimble, fast-paced thriving entrepreneurial environment to create data analytics solutions and connect to business needs and commercial strategies. 
• Work closely with a team of energized Data Scientists and technologists based in both India and U.S. with diverse backgrounds, to tinker with new ideas in an agile, collaborative, and “fast to fail” fashion.
• Stay on the cutting edge of technology evolution in the data science and engineering area, and closely connect with external technology partners and innovations.
• Proactively collaborate with business partners and domain experts from various functions (R&D, marketing, sales, IT, supply chain, etc.) to identify and formulate problems and innovation opportunities that can be enabled by the predictive and deep data analytics.
• Architect, rapid prototype and test data analytics solutions in a POC (proof of concept) scale to operationalize the outcomes of the predictive modeling and validate the results. 

Qualifications

• 5+ years of hand-on experience in developing predictive and deep data analytics solutions for real-world business operation and commercial uses (e.g., customer analytics, supply chain and logistics, predictive maintenance, etc.).
• Master’s or PhD degree in Data Science/Data Analytics, Computer Science, Operations Research, Applied Mathematics, Statistics or related science and technical field.
• Background in Chemical or other Engineering disciplines or Chemistry.
• Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
• Background in solving problems in the B2B world including supply chain optimization, predictive service etc.
• Proficiency with open-source data analytics toolsets such as R, Python, etc.
• Experience with advanced data analytics platform tools such as SAS, Azure ML, Rapidminer, MATLAB, KNIME, etc.
• Familiar with modern data analytics architecture and data engineering technologies (Hadoop, SQL and No-SQL databases, ETL techniques, etc.)
• A strong business focus, ownership and inner self-drive to bring connected offerings to real-world customers with tangible impact.
• Comfortable working in an agile and fast-paced environment and creating order from ambiguity.
• Ability to work with multidisciplinary and passionate team members to do whatever it takes to get the job done.
• A life-long learner who constantly updates skills (certifications earned and a portfolio of self-driven analytics problem solving examples in repositories like GitHub).

  Ecolab is looking for a talented Senior Data Scientist in Pune R&DE center to work in-house innovation hub chartered with creating big data analytics and data science innovation to derive valuable insights driving business and commercial successes.  Ecolab ranks 93rd in Forbes top 100 most innovative companies in the world. Our technologies help our customers across a broad spectrum of segments spanning from institutional to industrial and oil/gas industries succeed by getting visibility into their processes and generate actionable insights to help us fulfill our mission of Safe Food, Clean Water Healthy Environments, and Abundant Energy.   
   
  Responsibilities

• Work in nimble, fast-paced thriving entrepreneurial environment to create data analytics solutions and connect to business needs and commercial strategies. 
• Work closely with a team of energized Data Scientists and technologists based in both India and U.S. with diverse backgrounds, to tinker with new ideas in an agile, collaborative, and “fast to fail” fashion.
• Stay on the cutting edge of technology evolution in the data science and engineering area, and closely connect with external technology partners and innovations.
• Proactively collaborate with business partners and domain experts from various functions (R&D, marketing, sales, IT, supply chain, etc.) to identify and formulate problems and innovation opportunities that can be enabled by the predictive and deep data analytics.
• Architect, rapid prototype and test data analytics solutions in a POC (proof of concept) scale to operationalize the outcomes of the predictive modeling and validate the results. 

• Qualifications

• 5+ years of hand-on experience in developing predictive and deep data analytics solutions for real-world business operation and commercial uses (e.g., customer analytics, supply chain and logistics, predictive maintenance, etc.).
• Master’s or PhD degree in Data Science/Data Analytics, Computer Science, Operations Research, Applied Mathematics, Statistics or related science and technical field.
• Background in Chemical or other Engineering disciplines or Chemistry.
• Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
• Background in solving problems in the B2B world including supply chain optimization, predictive service etc.
• Proficiency with open-source data analytics toolsets such as R, Python, etc.
• Experience with advanced data analytics platform tools such as SAS, Azure ML, Rapidminer, MATLAB, KNIME, etc.
• Familiar with modern data analytics architecture and data engineering technologies (Hadoop, SQL and No-SQL databases, ETL techniques, etc.)
• A strong business focus, ownership and inner self-drive to bring connected offerings to real-world customers with tangible impact.
• Comfortable working in an agile and fast-paced environment and creating order from ambiguity.
• Ability to work with multidisciplinary and passionate team members to do whatever it takes to get the job done.
• A life-long learner who constantly updates skills (certifications earned and a portfolio of self-driven analytics problem solving examples in repositories like GitHub).

Our Commitment to Diversity and Inclusion

At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.

In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.