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Director Data Analyst Machine Learning Jobs (NOW HIRING)

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Lead development and deployment of advanced analytics, machine learning, and AI use cases.

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where ... and scale advanced analytics, machine learning, and generative AI capabilities that drive ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

We are seeking an inspiring and transformative Senior Director, Data Science, with 15+ years of ... Deep understanding of the advanced analytics and AI landscape, including machine learning, deep ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... analysis * At least 4 years of experience working with machine learning * At least 4 years of ...

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Director Data Analyst Machine Learning information

See salary details

$34K

$82.6K

$136K

How much do director data analyst machine learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for director data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

More about Director Data Analyst Machine Learning jobs
What cities are hiring for Director Data Analyst Machine Learning jobs? Cities with the most Director Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Director Data Analyst Machine Learning jobs? States with the most job openings for Director Data Analyst Machine Learning jobs include:
What job categories do people searching Director Data Analyst Machine Learning jobs look for? The top searched job categories for Director Data Analyst Machine Learning jobs are:
Infographic showing various Director Data Analyst Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Stefanini Group

Allen Park, MI

Contractor

Posted 4 days ago


Job description

Stefanini Group is hiring!

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI)

For quick apply, please reach out to Navneet Pathak at 248-213-3677/navneet.pathak@stefanini.com

We are looking for a candidate who is responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. 

Key Responsibilities

  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 
  • Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 
  • Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 
  • Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 
  • Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness 

Skills Required:

  • J2EE, Logistics, Python, Machine Learning

Skills Preferred:

  • AIPGEE, Advance data Migration, API, Data Management

Experience Required:

  • 5+ years of experience in relevant field
  • Fully Functional Middleware API: A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational data points. 
  • Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware data, flags anomalies, and generates structured recommendation JSON payloads. 
  • Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks that feed the AI's reasoning, recommendations, and confidence scores into our front-end application. 
  • Co-Developed Codebase: A clean, modular, and fully tested Git repository co-authored with our internal team. 
  • Coaching Playbook: A comprehensive training package and transfer-of-ownership document for our internal engineering and product teams

 

Experience Preferred

  • Automotive Supply Chain - Logistics

Education Required

  • Bachelor's Degree

Education Preferred

  • Certification Program

**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

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Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR