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Data Analyst Data Scientist Jobs in Appleton, WI

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role within Amplifi's consulting team, combining hand‑on technical execution with client advisory to ...

... As a Sr. Data Scientist in Amcor Core R&D, you'lllead the development of models and advanced ... Optimization, AI, & Advanced Analytics * Champion the digital transformation of R&D, scaling ...

New

Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related quantitative field, or equivalent practical experience. * 7+ years of experience in data governance ...

New

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

Data Architect (GCP)

Appleton, WI · On-site

$140K - $170K/yr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization's modern ...

Data Governance Analyst

Menasha, WI · On-site

$90 - $120/hr

The Data Governance Analyst plays a key role in advancing enterprise data governance initiatives by partnering with data owners, data stewards, and technical teams to deliver high-quality, business ...

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Data Analyst Data Scientist information

See Appleton, WI salary details

$44.9K

$160.9K

$237.5K

How much do data analyst data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst data scientist in Appleton, WI is $160,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $165,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Appleton, WI?

For Data Analyst Data Scientist jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Appleton, WI look for?

The top searched job categories for Data Analyst Data Scientist jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for Data Analyst Data Scientist jobs?

Cities near Appleton, WI with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $160,937 per year, or $77.4 per hour.

$120 - $180/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 28 days ago


Job description

Amplifi is a full-service data and AI consultancy with collective expertise across multiple data disciplines in North America and EMEA. That means we play as a team to solve the most complex challenges for our clients. While other data consultancies talk about the potential of data and AI, we realize it. And by doing so we help the world’s largest brands evolve, adapt and modernize the way they work. Our company and team members are proud to empower our clients’ businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we’re looking for like‑minded individuals to learn, grow, and mentor others as a part of the Amplifi team.

Position Summary

The Data Scientist, specializing in AI and Advanced Analytics, plays a key role within Amplifi’s consulting team, combining hand‑on technical execution with client advisory to design and deliver scalable analytics and AI solutions.

You will work across the full lifecycle, from identifying use cases to deploying production‑ready models, while partnering closely with clients to translate business challenges into data‑driven outcomes.

  • Partner with clients to define business problems, assess data accessibility, and shape practical analytics and AI solutions.
  • Develop a range of outputs including quick proofs of concepts, up to large, scalable, sustained data products.
  • Access data (e.g. via APIs), prepare data, and generate features as required for modeling tasks.
  • Design, build, and deploy machine learning models across a range of use cases (e.g., forecasting, segmentation, pattern detection).
  • Analyze structured and unstructured data to generate insights, statistical findings, and develop high‑quality data products.
  • Lead AI and predictive modeling initiatives, including LLM‑based/GenAI applications, computer vision, and traditional ML solutions.
  • Collaborate with engineering teams to deliver scalable data pipelines and solutions across modern platforms (e.g., Snowflake, Databricks, Dataiku, cloud).
  • Communicate insights clearly through visualizations, dashboards, and executive‑ready storytelling.
  • Mentor team members, contributing to a culture of continuous learning and development within Amplifi.
Necessary Skills / Attributes
  • Experience with modern data platforms and AI/ML development tools (e.g., Dataiku, Databricks, or similar)
  • Proficiency in Python and SQL; experience with API/JSON integrations.
  • Experience with statistical analysis and interpretation of data.
  • Experience with machine learning algorithms for prediction, classification, and time series.
  • Experience building and deploying AI/ML solutions (predictive models, LLMs, computer vision, etc.)
  • Experience with data visualization tools (Power BI, Tableau, or similar)
  • Exceptional communication and stakeholder management skills; comfortable presenting to the C‑suite and working alongside data engineers alike
  • Experience in Agile project delivery environments
Education / Experience
  • 5+ years of experience in data science, machine learning, or analytics
  • Master's degree in Analytics, Data Science, Statistics, Computer Science, or related field preferred.
Travel

Ability to travel up to 20% of the time.

Benefits & Compensation

Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long‑term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules, and paid holidays. Amplifi is an Equal Opportunity Employer.

Equal Opportunity Employer

Amplifi is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected characteristics.

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