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# Data Scientist

- **Company:** BINGHAMTOM UNIVERSITY
- **Location:** United States
- **Experience:** Expert
- **Salary:** $107,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Standard Sql, Salesforce.Com, Autodesk Autocad
- **Published:** October 9, 2026
- **Apply:** https://www.themuse.com/jobs/autodesk/senior-data-scientist-67fac8?utm_source=uconnect

## About the Role

* 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field
 * Advanced Python and SQL skills, including experience working with large-scale data warehouses
 * Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment
 * Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences, * Experience with dbt
 * Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data
 * Experience using AI productivity and coding tools

The Ideal Candidate

 * Translate complex data into actionable business insights and compelling stories for technical and non technical stakeholders

## Description

Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive models, machine learning products, and applied AI solutions that help Autodesk better understand customers and improve go-to-market decisions across the customer lifecycle.

In this role, you will apply machine learning, statistical methods, and practical AI techniques to complex business problems with meaningful impact. You will work across complex, real-world datasets, develop and improve models, and partner with cross-functional stakeholders to turn data into scalable products and business insights. This role is well suited for a strong individual contributor who brings deep technical judgment, thrives in ambiguity, and can guide high-impact work across multiple efforts.

Responsibilities

 * Design, develop, validate, and improve data science models and products. Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact
 * Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data
 * Use SQL to transform complex data and build scalable datasets for modeling and analysis
 * Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products
 * Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements
 * Develop technical design and architecture documentation for data science and AI products
 * Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions
 * Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities
 * Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations.
 * Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences, * Partner with product owners and cross functional teams to define priorities and solve high impact business problems
 * Analyze large and complex datasets while maintaining a strong focus on data quality and accuracy
 * Apply statistical, analytical, and machine learning techniques to solve ambiguous business challenges
 * Define success metrics, measure outcomes, and recommend data driven solutions to improve business performance
 * Lead end to end analytics projects and contribute to process improvements and best practices
 * Communicate findings and recommendations clearly to influence business decisions
 * Work independently while collaborating effectively across teams and mentoring junior team members when needed
 * Build strong stakeholder relationships and proactively identify opportunities to drive business impact
 * Connect analytical insights to broader business strategy and organizational goals