Intermediate Data Scientist

Hollstadt & Associates; Arden Hills (MN); Hybride; USD 57 000 - 81 000; Plein temps

Avantages offerts par ce poste

Medical (individual or family)

Dental (individual or family)

Vision (individual or family)

Life insurance (individual or family)

Short-term disability

Long-term disability

Paid sick leave

Retirement benefits (plans)

401(k) match on first 4% of your\ncon(

$5,000 Longevity Award bonus for stay"

$1,000 referral bonus for recruiting a

Résumé du poste

Hollstadt Consulting in Arden Hills, MN is seeking an Intermediate Data Scientist for a 6-month hybrid assignment, working on-site Tue-Thu in Arden Hills. The role partners with Corporate IT to apply statistical methods and machine learning to key business decisions that drive revenue growth and cost reduction.

As experience grows, you will own moderately complex analytical projects, develop models, run experiments, and translate findings into actionable recommendations while collaborating with

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field.
• 3–5 years of hands-on experience applying statistics, machine learning, experimentation, or decision science to business problems.
• Working knowledge of Python, R, and SQL, with experience using analytical platforms and model lifecycle tools such as Databricks and MLflow.
• Solid knowledge of statistical inference, experimental design, regression, forecasting, feature selection, model validation, uncertainty, and model monitoring.
• Demonstrated ability to frame moderately complex problems, align success criteria with business owners, quantify impact, and translate technical findings into clear insights and actionable recommendations.
• Industry knowledge in agriculture or related commercial settings, with the ability to connect business drivers to analytical decisions.

Responsabilités

• Partner with business stakeholders to frame use cases, understand industry drivers, and agree on decision needs and success criteria.
• Explore, profile, cleanse, transform, and integrate enterprise and reputable external data, verifying quality against source data, business rules, and industry context while following privacy, security, and sourcing requirements.
• Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model evaluation criteria.
• Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business context, and reusable analytical components.
• Develop reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift against agreed business and technical criteria.
• Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection, analytical quality, interpretation, and clear communication.
• Distinguish meaningful patterns from noise and communicate findings, assumptions, tradeoffs, uncertainty, risk, and quantified impact as clear business implications and practical recommendations.
• Support business owners in adopting recommendations and measuring results, while business owners retain accountability for adoption and operational decisions.
• Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production integration, automated monitoring, or custom development when needed.
• Participate in analytical, model, and code reviews; document work and share statistical methods, domain insights, and reusable practices.

Connaissances

Statistical modeling

Experiment design

Model evaluation

Data storytelling

Business partnering

Formation

Bachelor’s degree in related field

Outils

Databricks

MLflow

Description du poste

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you'll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We're committed to treating you with respect and helping you achieve your career aspirations.

Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel at any time.

Job Description

Role: Intermediate Data Scientist

Duration: 6 months

Location: Hybrid in Arden Hills, MN- Tuesday-Thursday

Rate: up to $50.31/hour W2, dependent on skills and qualifications

Our client is looking for an Intermediate Data Scientist to join Corporate IT. This role is based in Arden Hills, MN and requires hybrid attendance in the office Tuesday through Thursday. This position is responsible for partnering with functions and lines of business to apply statistical methods, machine learning, and industry knowledge to key business decisions that support revenue growth and cost reduction.

With growing autonomy and guidance appropriate to project complexity, this position owns moderately complex analytical projects or defined components of larger initiatives, develops models and experiments, and translates findings into actionable recommendations. The role emphasizes statistical and machine learning expertise, business partnership, and industry knowledge rather than custom software development.

Responsibilities

• Partner with business stakeholders to frame use cases, understand industry drivers, and agree on decision needs and success criteria.
• Explore, profile, cleanse, transform, and integrate enterprise and reputable external data, verifying quality against source data, business rules, and industry context while following privacy, security, and sourcing requirements.
• Translate business requirements and domain knowledge into features, experiments, analytical workflows, and model evaluation criteria.
• Select, develop, compare, and refine statistical and machine learning models using sound statistical reasoning, business context, and reusable analytical components.
• Develop reproducible analytical workflows and evaluate and monitor model accuracy, bias, explainability, and performance drift against agreed business and technical criteria.
• Use approved AI tools to accelerate coding, testing, and documentation while remaining accountable for method selection, analytical quality, interpretation, and clear communication.
• Distinguish meaningful patterns from noise and communicate findings, assumptions, tradeoffs, uncertainty, risk, and quantified impact as clear business implications and practical recommendations.
• Support business owners in adopting recommendations and measuring results, while business owners retain accountability for adoption and operational decisions.
• Partner with product, engineering, platform, and business teams to plan incremental deliverables and support production integration, automated monitoring, or custom development when needed.
• Participate in analytical, model, and code reviews; document work and share statistical methods, domain insights, and reusable practices.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 3–5 years of hands‑on experience applying statistics, machine learning, experimentation, or decision science to business problems.
• Working knowledge of Python, R, and SQL, with experience using analytical platforms and model lifecycle tools such as Databricks and MLflow. Ability to review and validate code and analytical outputs, including AI-assisted work.
• Solid knowledge of statistical inference, experimental design, regression, classification, forecasting, feature selection, model validation, uncertainty, and model monitoring.
• Demonstrated ability to frame moderately complex problems, align success criteria with business owners, quantify impact, and translate technical findings into clear insights and actionable recommendations.
• Industry knowledge in agriculture or related commercial settings, with the ability to connect business drivers to analytical decisions.

Benefits and Perks

• Medical (individual or family)
• Dental (individual or family)
• Vision (individual or family)
• Life insurance (individual or family)
• Short-term disability
• Long-term disability
• Paid sick leave
• Retirement benefits (plans)
• 401(k) match on first 4% of contributions
• $5,000 Longevity Award bonus for staying 5 years
• $1,000 referral bonus for recruiting a hired candidate

With three different medical plans to choose from, you can enroll in the coverage you need from individual to family, or anywhere in between!

Remarketing Process

Hollstadt is based on retention and relationships. We get to know your strengths and career wishes throughout your assignment and then start remarket discussions 6-8 weeks prior to your end date. By being proactive, we are able to keep your down time between assignments as short as possible, unless you choose otherwise.

Professional Development

Hollstadt offers on-demand training through our consultant portal. Trainings give our consultants the continuing education they need to excel on their projects. Many of our courses apply towards continuing education credits and we have an entire training hub dedicated to upskilling in Artificial Intelligence (AI).

401k + Matching

One popular benefit is our 401(k) match on the first 4% of your contributions. Hollstadt wants to help you reach your long-term financial goals and understands that planning for your future is critical. Consultants also have access to support from a Financial Advisor.

Ongoing Support & Networking

We have made a significant investment in building a support program for our consultant team - so you never have to feel like you are going it alone. We also have a Consultant Coach program which acts like a 'work buddy' to provide a safe ear for questions or concerns at your client site.