Senior Data Scientist

About the role

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.

Responsibilities

• Support the development of embedded advanced analytics into Urban Science solutions using Azure AI/ML, SQL, Python and/or SAS.
• Build and maintain 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.
• Create presentation materials that showcase research findings and results; Present 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.
• Maintains personal task list using tools such as AzureDevOps for project and task management.
• Pairs 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 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.

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.
• Masters degree in a related field preferred.
• 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.
• Working knowledge of API integration and/or model deployment workflows.
• Strong proficiency with 2 or more of the following languages: SAS, R, Python.
• Experience building ML pipelines is preferred.
• Experience with ML Ops packages (e.g. scikit-learn) strongly preferred.
• Knowledge and understanding of sales and business development processes is strongly preferred.
• Basic knowledge of budgeting philosophy and principles.

Qualifications

• Verbal Communication
• Written Communication
• Analytical Thinking
• Conceptual Thinking
• Information Seeking
• Flexibility/Adaptability
• Results Oriented
• Self-Confidence
• Organizational Commitment
• Ethics & Integrity
• Teamwork & Cooperation
• Team Leadership
• Self-Control
• Quality Control
• Customer Service Oriented
• Interpersonal Understanding
• Relationship Building
• Assertiveness
• Developing & Coaching
• Strategic Influence
• Organization & Time Management
• Project Management
• Math & Statistics
• MS Office
• Database
• Technical/Software
• Sales & Business Development
• Budgeting/Finance

Skills

• Advanced proficiency in SAS or Python
• Experience with ML Ops packages (e.g. scikit-learn)
• Knowledge of machine learning techniques such as time-series forecasting, clustering, regression, decision trees, GLMs, neural networks, survival analysis
• 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
• Advanced knowledge of relational database concepts, including diagnostics and resolution of database errors, gathering and manipulating data manually
• Knowledge and experience with SQL

Benefits

Urban Science provides a myriad of benefits and programs focused on Wellbeing, Growth, Community and Recognition. Personal success takes on many different forms throughout the course of our lives - both professionally and personally - so we provide a multitude of benefits and programs to support your wellbeing and growth.

Pay

Competitive compensation package based on experience and qualifications.

Schedule

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).