Lead Data Scientist

Our Company

At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers' customers—to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

The Lead Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.

The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives..

This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.

Key Areas of Responsibility:

• Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
• Lead the discussion and conceptualization of the solutions assigned.
• Responsible for development of ready to engage and ready to sell collateral
• Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
• Actively participate in brainstorming sessions to come up with possible solutions/analytics
• Build solution showcases and support the account teams in high-end customer pitches
• Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
• Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
• Conduct assessment and POC activities to support the Pre-Sales Teams

Who You'll Work With

The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).

What Makes You a Qualified Candidate

Educational Requirements:

• Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
• Preferably a Masters or Doctorate in the relevant field

Technical Skill Set & Experience Required:

• 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
• Experience in data analysis is a plus.
• Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
• Comfortable with and experience using SQL.
• Significant familiarity with Statistical concepts. In-depth understanding is a plus.
• In depth understanding of Machine Learning concepts and statistical modelling.
• Exposure and Experience with Artificial Intelligence and Deep Learning
• Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
• Ability to analyze customer technology, define business requirements & participate in risk analysis activities
• Strong Requirement Elicitation & Analysis skills
• Cloud Computing Experiences would be a plus (Azure /AWS/Google)
• Experience of Teradata platform would be a plus
• Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus

What You'll Bring

• Ability and willingness to learn.
• Collaborative attitude and team player.
• Very strong analytical skills.
• Ability to independently manage critical situations.
• Story building skills.
• Critical thinker and problem-solving skills
• Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
• Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
• Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.

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