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Manager Data Scientist Jobs in Waterloo, IL (NOW HIRING)

PB consulting

Data Scientist

University City, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Oakville, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Venice, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Affton, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Marlborough, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Saint Louis, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Mitchell, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Creve Coeur, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Millstadt, IL

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

New Hanover, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Brentwood, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Caseyville, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

East Carondelet, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Town And Country, MO

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Columbia, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Belleville, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Washington Park, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Centreville, IL

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Madison, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

PB consulting

Data Scientist

Fairview Heights, IL · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... and managed. * Develop analytical models and algorithms to understand relationships and ...

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All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Waterloo, IL

Manager Data Scientist information

See Waterloo, IL salary details

$42.6K

$152.8K

$225.5K

How much do manager data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager data scientist in Waterloo, IL is $152,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $157,500.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What cities near Waterloo, IL are hiring for Manager Data Scientist jobs?

Cities near Waterloo, IL with the most Manager Data Scientist job openings:

Manager Data Scientist jobs near you

Data Scientist

PB consulting

University City, MO • On-site

Full-time

Posted 16 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.

  • Collaborate with data and business teams to understand requirements and deliver effective data science solutions.

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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