Senior Data Scientist

Urban Science•Detroit, MI

3d•Hybrid

About The Position

We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because we find and examine possibilities through the clarity of a scientific lens. To solve the toughest client challenges, we need curious, creative and dedicated people to join our team. We search out individuals who align with our core values and who adhere to the highest standards of integrity and ethics in everything they do. Our company is filled with the brightest minds and the biggest hearts at every level. We recognize that personal success takes on many different forms of the course of our lives – both professional and personally – so we provide a myriad of benefits and programs focused on Wellbeing, Growth, Community and Recognition. One size does not fit all, so we encourage every Urban Scientist to discover their own formula for success. If this sounds like the kind of company you would like to work with, Apply Now! POSITION OVERVIEW: The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable insights that drive strategic decisions. This role requires the integration of advanced analytics, machine learning, and statistical modeling to support product development, client solutions, and internal operations. The Advanced Analytics Senior Data Scientist has responsibility to build and maintain advanced analytical AI, machine learning and forecasting pipelines. Essential duties also include data extraction, preparation and visualization. Additionally, the Senior Data Scientist is responsible for the production of scheduled and ad-hoc quality reports and validation of model performance and accuracy. The Advanced Analytics Senior Data Scientist is the lead liaison with clients that use or integrate the output of AI, machine learning and forecasted data pipelines or studies. This role has current Hybrid Workplace flexibility local to our Detroit, MI office location. Candidate must be available and willing to work in-person approximately twice per week (currently Tuesdays and Wednesdays). URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE.

Requirements

University degree in an appropriate technical or analytical field required (i.e., computer science, engineering, applied mathematics, statistics, econometrics, analytics, etc.) from an accredited college or university, or equivalent foreign institution
Requires 5+ years experience building and implementing advanced analytical techniques (machine learning, artificial intelligence, forecasting, econometrics and/or statistical modeling)
Requires experience implementing models in complex industry applications
Requires working knowledge of API integration and/or model deployment workflows
Strong proficiency with AI, machine learning or statistical modeling using Azure AI/ML, SAS and/or Python required
Proficiency with SQL required
Requires experience with machine learning frameworks (e.g., scikit-learn, TensorFlow)
Proficiency in data visualization tools preferred (Tableau, PowerBI, Fabric, or similar)
Experience in developing and deploying time series forecasting models, including ARIMA, Exponential Smoothing, UCM, State Space, and other advanced forecasting methodologies preferred
Experience developing ML Ops pipelines using Azure AI cloud computing & LLMs preferred
Experience with geographic analysis or GIS preferred
Experience with Azure DevOps and Agile development concepts preferred
Advanced knowledge of MS Excel for charting and graphing of data, writing formulas, utilizing functions, and filtering, sorting and formatting of data; intermediate knowledge of MS Word, and PowerPoint is required.
Advanced knowledge of relational database concepts, including diagnostics and resolution of database errors, gathering and manipulating data manually; knowledge and experience with SQL is required.
Advanced proficiency in SAS or Python; Experience building ML pipelines is preferred.
Experience with ML Ops packages (e.g. scikit-learn) strongly preferred.
Ability to identify potential new opportunities from the client and proactively communicate those opportunities to management is required; knowledge and understanding of sales and business development processes is strongly preferred.
Requires basic knowledge of budgeting philosophy and principles; requires ability to provide labor cost estimates for budgeting purposes.
Knowledge and understanding of pricing, scope, cost estimates and internal/external impacts is strongly preferred.

Nice To Haves

Masters degree in a related field preferred
Network Apprentice certification preferred (for internal applicants)

Responsibilities

Support the development of embedded advanced analytics into Urban Science solutions using Azure AI/ML, SQL, Python and/or SAS.
Responsible for building and maintaining advanced analytical models, including supervised machine learning models, predictive models, and time-series models.
Tracks, processes, analyzes and verifies data in order to improve accuracy and quality.
Creates presentation materials that showcase research findings and results; Presents results to internal clients.
Works with the Learning team to analyze, develop, and maintain appropriate training and certification materials for internal employees.
Develops complex machine learning models and updates existing models to validate effectiveness for various clients using techniques such as regression, decision trees, random forests, artificial neural nets, survival analysis, and/or time series.
Collects, imports, and organizes relevant data within AI & machine learning software such as Azure, Fabric, SAS and/or Python to support modeling development and maintenance.
Collaborates with internal clients to collect requirements and specifications in order to build complex machine learning analyses that are embedded into corporate software and processes.
Uses SQL server to extract, process and prepare data for machine learning modeling.
Attends project meetings and participates in presenting project status updates, conclusions and results.
Adheres to quality control standards for Urban Science and client organizations.
Designs, develops, and maintains quality assurance (QA) reports of machine learning processes using tools such as SAS, MS Excel, Tableau, and/or MS Power BI.
Coordinates with individuals or teams to complete analyses, tasks and projects on time and with high quality.
Responsible for creating estimates and proposals for projects and budgeting purposes.
Effectively responds to client inquiries/requests in a timely manner to help improve client satisfaction.
Proactively communicates with management to provide updates and report issues in a timely manner.
Actively supports and participates in training programs to achieve targeted development objectives.
May have responsibility to train / mentor other Associates in processes, procedures and methodologies.
Works with manager in completing own annual goal setting and performance review in a timely manner.
Plans, organizes, develops and delivers client requested reports and deliverables on time, adhering to client requested specifications.
Works with manager to prioritize other duties as assigned.
Maintain personal task list using tools such as AzureDevOps for project and task management.
Partners with the Practice organization to invent new advanced analytical methodologies and manages the integration of new methodologies into Practice solutions.
Provides guidance and oversight for advanced analytics projects and analyses that occur on account teams teams globally, including defining scope, cost estimates, schedules, and selection of appropriate analytical methods.
Consults with local account teams and engages with external clients, to provide appropriate analytical methodologies that will meet client needs and requirements, including reviewing SOWs and providing sales materials.
Researches, evaluates and develops new potential AI/ML/forecasting/statistical methodologies, processes and procedures for application.