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Senior Data Scientist Jobs in Appleton, WI (NOW HIRING)

Valid8 Financial, Inc.

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 ...

Schneider

Senior Software Engineer

Green Bay, WI · On-site

$119K - $157K/yr

Bachelor's degree in computer science, information systems or related field. * Minimum of four ... Experience with data migration, transformation, and integration tools (e.g. Oracle Integration ...

Oshkosh Corporation

DT Technical Analyst Sr

Oshkosh, WI · On-site

Data Base Administration (DBA) * Server * Data Network * Voice Network * Storage * Application ... Bachelor's degree in Computer Science, Information Systems, or equivalent. * Five (5) or more years ...

Salas O'Brien

Senior Structural Engineer

Green Bay, WI · On-site

$97K - $132K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... The Senior Structural Engineer will be primarily responsible for supporting projects and performing ...

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All JobsData Scientist JobsSenior Data Scientist JobsSenior Data Scientist Jobs in Appleton, WI

Senior Data Scientist information

See Appleton, WI salary details

$40.5K

$138.9K

$196K

How much do senior data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data scientist in Appleton, WI is $138,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $162,400.00 per year, depending on experience, location, and employer.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

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

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

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

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

Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Appleton, WI as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $138,938 per year, or $66.8 per hour.

Data Scientist

Valid8 Financial, Inc.

Appleton, WI • On-site

$120 - $180/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 9 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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