Data Scientist

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Apache Airflow, AWS, AWS Glue, Data Analysis, Data science techniques, Design, DynamoDB, Effective communication skills, ETL frameworks, Lambda, Machine learning techniques, PowerBI, Snowflake, Statistics, Tableau

Job Description

Position Overview

We are looking for a talented Data scientist/ML engineer, who will play an integral role in the technical development of critical sales tools and business workflow leveraging data for decision making. This role involves driving sales team productivity through creating future state best practices for business analytics!

Responsibilities

• Design and develop components of end-to-end Enterprise Data Platform
• Work with the team to make the Enterprise Data Platform an efficient, robust and scalable Solutions
• Enthusiastic and passionate member of a highly skilled and motivated agile development team
• Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation

Minimum Qualifications

• Minimum of 4-5 years of experience working on Advanced Analytics projects
• Experience of handling entry level Data Scientists
• Good hands on experience in delivering Data Science models (Demand Forecasting, Time series forecasting, ML etc.)
• Decent experience engaging with stakeholders to understand problem statement and converse with non-technical audience
• Experience in Python
• Data visualization experience is good to have in order to demonstrate the end product in simplistic way. (tableau or power BI)
• Demonstrated ability to adapt quickly and manage an environment of rapid change and development
• Evidence to success in design and build of advanced data analytics solutions
• Creativity to go beyond current tools to deliver best solution to the problem
• Work with cross functional team to understand the data extracted from different applications

Preferred Qualifications

• Good understanding of Statistics, Econometrics, Applied Mathematics,
• Operations Research or equivalent
• Strong in Spark and python, ETL pipeline,Airflow, snowflake
• Experience with AWS services (EC2, RDS, S3, Data pipeline/Glue, Lambda, Dynamo DB etc.)
• Excellent data and statistical analysis skills
• Strong verbal and written communication skills

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.