Principal Data Scientist

Company Overview:

Established in 1991, Cyient provides engineering, geospatial, design-led manufacturing, and network and operational support services to global industry leaders, including many Fortune 500 clients. We leverage the power of digital technology and advanced analytics capabilities, along with domain knowledge and technical expertise, to solve complex business problems across several industries, including aerospace and defense, industrial, medical, utilities, semiconductor, telecommunications, rail transportation, energy, and natural resources. Our 15,000 associates are located in more than 21 countries, supporting 12 industries, including aerospace, rail transportation, power generation, telecommunications, and medical technology. With a soundtrack record of growth and profitability, we are committed to developing a sustainable society and actively promoting education and inclusive growth initiatives in our local communities.

• Should have 10-12 years’ hands-on experience in algorithms and implementation of advanced analytics solutions in mining / industrial setting. 
• Should have 5-10 years’ of experience in leading a team of Data Scientists, works closely with technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.  
• Strong Knowledge of theoretical foundations of machine learning (supervised and unsupervised models) and optimization
• Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. 
• Leads efforts to foster innovative ideas for developing high impact solutions. 
• Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing
• Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. 

• Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence
• Visualization tool experience - preferably with Tableau or Power BI
• Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
• Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight.
• Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship.
• Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
• Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods;
• Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. 

• Required to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes
• Preferred to have PhD in Data Science/Analytics/Computer Science from premier institutes 

Cyient is an Equal Opportunity Employer. Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.