What You ll Do

• What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions.

• What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients.

• What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes.

Who You ll Work With

• An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth.

• The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients.

• Who the position reports to: This position reports to the Data Science Team Manager.

What You ll Bring

• Data Analysis and Modeling: Perform complex data analysis and build predictive models using advanced statistical and machine learning techniques.

• Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and alignment with business goals.

• Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to understand requirements and deliver data-driven solutions.

• Data Exploration: Explore large datasets to identify trends, patterns, and opportunities for business improvement.

• Model Deployment: Implement and maintain machine learning models in production environments, ensuring scalability and performance.

• Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies.

• Communication: Present findings and insights to both technical and non-technical audiences, translating complex data into actionable recommendations.

• Continuous Improvement: Stay up to date with the latest advancements in data science and machine learning and apply new techniques to improve existing processes.

Desired Candidate Profile

• Minimum of 5 years of experience in data science or analytics.

• Proficiency in programming languages such as Python and SQL.

• Strong understanding of statistical methods and machine learning techniques.

• Proficiency in advanced deep learning algorithms and GenAI

• Excellent communication and presentation skills.