Senior Data Scientist

ABOUT THE ROLE

Job Description

About Company:
KH India GCC Private Limited (KH IGCPL) was incorporated in the year 2017 as a joint venture between Kalashnikov Concern (Russia), Russia’s largest defence manufacturing enterprise and CSIR-Central Mechanical Engineering Research Institute (CSIR-CMERI), India’s premier R&D organization under DST to indigenously design, develop and produce world class Small Arms for Indian & Global markets.
The company has set up its manufacturing facility at Kanpur, Uttar Pradesh which is spread over 15 acres of land with an investment outlay of around US$ 6 million. The company has already started production of 9mm Machine Pistol known as ‘Avtomat Kalashnikova’ or AK-101. The product has been tested by various agencies including Army, Police, Paramilitary forces etc. and well accepted by them. It has also received orders from various countries.
About Job Summary:
Senior Data Scientist will be responsible for building data science models and analytics applications, applying predictive modeling and machine learning techniques to business problems.
He/she should have expertise in programming languages like Python and SQL along with proficiency in data visualization tools such as Tableau. He/She should also possess good communication skills to interact with stakeholders across functions and levels.
About Job Responsibility:

• Analyzing large amounts of historical and real time data using statistical methods, algorithms and other analysis techniques to discover trends and patterns.
• Designing, developing and testing models to forecast future events, risks and opportunities.
• ing advanced analytics techniques to drive decision making.
• Creating automated systems for monitoring performance metrics.
• Identifying anomalies and trends in data sets.
• Developing code for prototyping and testing ideas.
• Communicating findings through reports, dashboards, graphs, tables and charts.
• Collaborating with team members to ensure projects are completed on schedule.
• Presenting results to management.

About Qualification:

• Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, Business Administration or related field. Master’s degree preferred.
• Experience in handling large data sets and working knowledge of statistics packages such as NumPy, pandas, scikit-learn etc.
• Strong background in Statistical Modelling and Data Mining techniques with special emphasis on Machine Learning Algorithms.
• Excellent hands-on experience in Data Visualisation Tools such as Tableau, Power BI etc.
• Good understanding of Programming Languages like Python, R, Java etc.
• Working Knowledge of Database Systems, NoSQL DBMS, SQL Server, Oracle etc.
• Familiarity with Cloud platforms – AWS, Azure etc.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated problem solving skills.
• Proactive self-starter with ability to work independently.

Location(s)