Data Science Lead, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

In the Global Assessments & People Analytics & Insights group at Citigroup, we solve business problems with workforce and business data. We conduct analyses to enable evidence-based decision making. We use statistical models to predict future outcomes. We provide actionable insights. Our mission is to equip decision makers with data-driven insights through analytics to make the best decisions about people - individuals, teams and organizations—to drive business performance.

Job Responsibility:

Collaborate with cross-functional teams, including data scientists, project managers, HR partners and business stakeholders, to understand data requirements and define data engineering solutions that support workforce planning goals
Working with the HR technology team and various other partners to build and maintain the People Analytics and Insights database
Integrating multiple systems and data sources to build large and complex data sets and making them usable for analytics studies (e.g. transforming and cleaning data, working with incomplete data sources, etc.)
Lead and mentor a team of data scientists, data engineers and tableau developers
Applying analytical/technical expertise to translate business problems into actionable solutions
Develop and implement data models to support advanced analytics and machine learning applications related to workforce planning and optimization
Leading execution and automation of analytical and reporting projects to ensure that the outputs fulfill client requirements and expectations
Performing ETL tasks and data analyses (exploratory, confirmatory and/or qualitative), which include wide use of reporting frameworks and statistical models/tests using Python, Tableau etc.
Effectively communicate findings, ideas, and concepts to non-technical stakeholders both internally and externally
Staying abreast of current trends/research in data science research and technology

Requirements:

Master’s Degree/ Bachelor’s degree preferably in Statistics, Economics, Mathematics / B.tech in Computer science, IT
Extensive experience in Advanced SQL (or similar language for querying relational databases)
Advanced Python programming skills
Experience using platforms such as Oracle, Google Cloud, Snowflake, Airflow etc.
Experience with Big Data tools: Hadoop, Spark, Kafka
Tableau and other data visualization tools
Demonstrated ability to lead projects to timely delivery
Strong analytical skills related to working with unstructured datasets
Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit
Demonstrated strong collaboration skills—Analytics & Insights is a team sport
Ability to manage and work with structured and unstructured data with accuracy
Ability to multitask and manage multiple research/analytics projects at the same time
Demonstrated strong attention to detail, problem-solving, and critical thinking
Business and HR acumen is preferred
Adaptive to matrix work environment

Nice to have:

Business and HR acumen
Adaptive to matrix work environment

Additional Information:

Job Posted:
May 28, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Science Lead