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Director Data Science Rotational Program Jobs in Raleigh, NC

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Define and execute the data science vision and roadmap aligned with business objectives and ... Comprehensive, multi-carrier program for medical, dental and vision benefits * Retirement Benefits ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and ... Comprehensive, multi-carrier program for medical, dental and vision benefits * Retirement Benefits ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

Leading small- to medium-sized teams (direct or indirect) * Setting a high-bar for model development Requirements : * Have substantial experience in a senior data scientist role * Have experience in ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

Leading small- to medium-sized teams (direct or indirect) * Setting a high-bar for model development Requirements : * Have substantial experience in a senior data scientist role * Have experience in ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

RELX

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$40/hr

Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to ...

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All JobsDirector Data Science Rotational Program JobsDirector Data Science Rotational Program Jobs in Raleigh, NC

Director Data Science Rotational Program information

What are the key skills and qualifications needed to thrive as a Director in a Data Science Rotational Program, and why are they important?

To thrive as a Director in a Data Science Rotational Program, you need advanced expertise in data analytics, machine learning, statistical modeling, and a graduate degree in a quantitative field. Familiarity with tools such as Python, R, SQL, cloud-based platforms, and proficiency in leading data-driven projects is essential, alongside recognized certifications like Certified Analytics Professional (CAP) or AWS Certified Data Analytics. Outstanding leadership, mentorship, and cross-functional communication skills set exceptional candidates apart. These competencies ensure strong team performance, innovation, and effective alignment of data science initiatives with organizational goals.

What can participants expect in terms of mentorship and cross-functional collaboration during the Director Data Science Rotational Program?

Participants in the Director Data Science Rotational Program can expect structured mentorship from senior leaders and exposure to various business units, such as product, engineering, and operations. The program is designed to foster collaboration across teams, offering opportunities to work on high-impact projects and develop a holistic understanding of data-driven decision-making. This structure not only helps participants build a diverse skill set but also expands their professional networks, preparing them for future leadership roles in data science.

What is a Director Data Science Rotational Program?

A Director Data Science Rotational Program is a leadership development initiative designed to groom experienced data science professionals for top executive roles. Participants rotate through various departments or projects, gaining exposure to different facets of data science, analytics, and business strategy within an organization. The program emphasizes cross-functional skills, leadership, and the ability to drive data-driven decision-making at a high level. It often includes mentorship, formal training, and hands-on assignments to prepare participants for senior leadership positions in data science.
Director Data Science Rotational Program jobs near you

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 10 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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