ZipRecruiter

Log In

2

Full Time Chemical Engineering Data Science Jobs in Raleigh, NC

Fidelity Investments

Director, Data Science

Durham, NC · On-site

Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Key Responsibilities * Lead the development of advanced AI and machine ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Key Responsibilities * Lead the development of advanced AI and machine ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Key Responsibilities * Lead the development of advanced AI and machine ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Key Responsibilities * Lead the development of advanced AI and machine ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Provide technical leadership across machine learning, statistical modeling, feature engineering ...

Synsus, LLC.

Chemical Engineer

Raleigh, NC

This position works in close collaboration with both R&D scientists and manufacturing personnel to ... Contribute to S&OP hand-off data, including yields, cycle times, critical parameters, and safety ...

ERG

Senior Process Safety/Chemical Engineer

Raleigh, NC · On-site

$110K - $155K/yr

ERG offers multidisciplinary teams with nationally recognized skills in engineering, science ... ERG is seeking a Senior Process Safety Engineer or Chemical Engineer to join our Risk Management ...

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

... expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions ...

ERG

Senior Process Safety/Chemical Engineer

Raleigh, NC · Remote

$110K - $155K/yr

ERG offers multidisciplinary teams with nationally recognized skills in engineering, science ... ERG is seeking a Senior Process Safety Engineer or Chemical Engineer to join our Risk Management ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

... expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions ...

Peter Millar

Senior Data Scientist

Durham, NC

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work. This is a hybrid position located in Durham, NC, with the expectation of regular on ...

next page

Showing results 1-20

All JobsChemical Engineering Data Science JobsFull Time Chemical Engineering Data Science JobsFull Time Chemical Engineering Data Science Jobs in Raleigh, NC

Full Time Chemical Engineering Data Science information

What is the difference between Full Time Chemical Engineering Data Science vs Full Time Chemical Engineering?

AspectFull Time Chemical Engineering Data ScienceFull Time Chemical Engineering
Required CredentialsBachelor's or Master's in Chemical Engineering, Data Science, or related fields; programming skillsBachelor's or Master's in Chemical Engineering; engineering fundamentals
Work EnvironmentResearch labs, data analysis teams, cross-disciplinary projectsManufacturing plants, process design, R&D facilities
Industry UsageData-driven process optimization, predictive modeling in chemical industriesProcess design, safety, and operations in chemical manufacturing

Full Time Chemical Engineering Data Science combines chemical engineering principles with data analysis skills, focusing on data-driven decision making. In contrast, Full Time Chemical Engineering emphasizes process design and operations. Both roles require a chemical engineering background, but data science roles demand additional programming and analytics expertise, often working in more interdisciplinary environments.

Full Time Chemical Engineering Data Science jobs near you
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Re-posted 7 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

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.

#PE1M2
#LI-DNI
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.

What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply