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Director Data Analyst Machine Learning Jobs in Missouri

PB consulting

Data Scientist

Clayton, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for ...

Socket.dev

Data Analyst

Creve Coeur, MO · On-site

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Experience applying machine learning and statistical libraries (e.g., Scikit-learn, TensorFlow ...

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki: Why : We believe that by using data in a smart way, we ...

Bayer AG

US - IT Data Scientist (Mid)

Creve Coeur, MO · On-site

Leverage expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyze complex imagery data and develop actionable insights for agricultural operations.

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

Translate complex business problems into data-driven analytics and machine learning tasks, then design, develop, and swiftly deploy high-performance, resilient predictive models using a range of ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

Translate complex business problems into data-driven analytics and machine learning tasks, then design, develop, and swiftly deploy high-performance, resilient predictive models using a range of ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical modeling, econometrics, and machine learning to analyze vast internal and external ...

Bunge

Data Scientist

Chesterfield, MO · On-site

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging advanced statistical modeling, econometrics, and machine learning to analyze vast internal and external ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

Translate complex business problems into data-driven analytics and machine learning tasks, then design, develop, and swiftly deploy high-performance, resilient predictive models using a range of ...

Jobtailor

Machine Learning Engineer - III

California, MO · On-site

$102K - $123K/yr

... data * Partner with ads product, engineering, analytics, and business teams * Enable low-latency ... Machine Learning Pipeline Development * Python Proficiency * Experience with Spark and SQL

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

This team leads advancements in generative AI, agentic intelligence, machine learning, measurement ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

This team leads advancements in generative AI, agentic intelligence, machine learning, measurement ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Data Management and Analytics organization. This is an excellent opportunity to gain hands-on ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Data Management and Analytics organization. This is an excellent opportunity to gain hands-on ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Missouri

Director Data Analyst Machine Learning information

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.

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Cities in Missouri with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you

Data Scientist

Clayton, MO • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

Posted 26 days ago

Key responsibilities

  • Analyze large and complex structured and unstructured datasets to identify trends, patterns, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Generate reports, dashboards, and analytical resources to communicate insights to stakeholders.

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

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