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Associate Data Scientist Deep Learning Jobs in Wisconsin

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Design, build, and deploy machine learning models across a range of use cases (e.g., forecasting ...

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

... machine learning modeling experience. Prior experience must include: 4 years building and ... Current associates who require a workplace accommodation should refer to Fiserv's Disability ...

Develop predictive and prescriptive analytics solutions utilizing machine learning, statistical ... Define enterprise data standards, metadata management practices, and data governance processes.

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... High school diploma / GED and 10 years of Data Sciences experience OR Associate's degree and 8 ...

WI · On-site

$130 - $160/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

WI · On-site

$100 - $130/hr

We're looking for a data scientist who is as comfortable shipping a heuristic to production as they ... Along with excellent health insurance, we offer flexible time off, learning & development ...

Showing results 21-40

Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Wisconsin?

The most popular types of Data Scientist Deep Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Associate Data Scientist Deep Learning jobs?

Cities in Wisconsin with the most Associate Data Scientist Deep Learning job openings:

$120 - $180/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 18 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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