Data Analytics & Engineering at HCLTech

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The individual will be joining the Capacity Data Scientist Team, working on capacity demand projects.

Candidate Value Proposition:

The ideal candidate will work with different teams, learning new things pertaining to both AI and non-AI related capacity. This is a new area and is a great opportunity for those interested in the AI space. The ideal candidate is a strong communicator, open to exploring an ambiguous space!

Role Responsibilities (including, but not limited to):

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
• Generate and test hypotheses and analyze and interpret the results of product experiments
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support

Performance Measurement:

Performance will be measured on quality of work, deliverables, and team feedback.

Must-Have Skills:

• 3-5+ years of experience
• SQL experience and Excel skills
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
• Experience working with large datasets – ensure data quality is high

Nice-to-Have Skills:

• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau

Soft Skills:

• Strong verbal and written communication skills
• Strong attention to detail
• Open to ambiguity

Educational Requirements:

• Master of Science degree in computer science or in a relevant field