Details:

Job Description and Responsibilities:

- Participate in data science projects, be hands-on and build statistical models and digital solutions to extract value and create actionable recommendations.

- Identify and operationalize valuable insights from the data into business and digital applications.

- Partner with internal/external stakeholders, product owners and team members and drive product development plans.

- Drive methodological innovations into data science and digital products in the customer analytics, supply chain, Internet-of-Things, asset optimization, operations optimization and similar domains.

Should Have:

- A total of 5-10 years of industry experience with at least 5 years of experience in building data science models and products, ideally for a product/industrial company.

- A background or profile in Machine Learning, quantitative methods, predictive modelling, statistics or similar.

- Excellent track record of delivery using languages like Python, R, Java and technologies like Hadoop, Git/SVN, JIRA etc.Exposure to IoT/Telematics will be an added advantage.

- Good Familiarity with Agile / Scrum practices; played the role of scrum master, a good team player, balanced with the autonomy and motivation to produce individually.

- Willingness to build on and experiment with cloud data science platforms, in addition to our own services.

- Ability to effectively communicate data science results and analytics value to business stakeholders.

Education/ Qualification: 

- M.Sc./M.Tech or PhD in statistics, mathematics, econometrics, computer science, physics or related field.

Min. Qualification:

pg

Skills Required:

hadoop, java, machine learning, modeling, predictive modeling, python, r, statistical modeling