Job Description
Key Accountabilities:
- Develop new Algorithms that involve descriptive, prescriptive, predictive analytics, advanced statistics, and big Data.
- Continuously bring in the knowledge of latest techniques and methodologies in Data analytics, Machine Learning and Statistics.
- Understand complex problem statements and break-down into manageable tasks / work-packages. Strong familiarity with Agile frameworks.
- Create data visualization to provide analytical insights.
- Collaborate with several subject matter experts in the organization for deployment and validation of algorithms on existing products.
- Work with software engineering best practices such as version control, continuous integration, test driven development.
- Strong rigor in automating repetitive tasks.
- Define work packages for external partners for analytics task and steer the development by meeting quality requirements along with timeline.
- Lead and provide technical guidance to a team of data analysts and programmers to derive actionable insights from structured / unstructured data.
- Ensure quality of data and solution developed. Create high quality documentation of developed solutions.
Qualifications
- Minimum Bachelors / Masters in Engineering with 6-10 years of relevant experience.
- Strong domain knowledge about internal combustion engine and associated subsystems.
- Previous experience with creating functions and algorithms to support internal / external customers within an engine development or service based environment.
- Should be able to identify opportunities for monetizing test bench and service data.
- Business acumen and strategic inclination to help leadership take data driven decisions. Ability to create business proposals.
- Strong Programming background and expertise in building machine learning models using Matlab/python or any other programming language.
- Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau
- Excellent Communication Skills, Stakeholder management
- Ability to formulate multiple complex problems into hypothesis and proof of concepts for testing.
- Should have experience in regression analysis and time series data.
- Able to work in Scrum methodology and Agile framework.
- Strong analytical skills to identify problems in data and propose solutions.
- Ability to transform business requirements into data science formulations and implement sustainable and scalable solutions.
- Attention to detail and strong data orientation.
- Ability to work in global cross functional teams.
- German language is an added advantage.