Data Scientist

Amplifi Group, LLC•Appleton, WI

7d•Hybrid

About The Position

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. 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.

Requirements

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
5+ years of experience in data science, machine learning, or analytics

Nice To Haves

Master's degree in Analytics, Data Science, Statistics, Computer Science, or related field preferred.

Responsibilities

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.