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Lead Data Analytics and Engineering Scientist Jobs in Indiana

Data Scientist, Product Analytics
By Etsy At , Brooklyn, 11201 $104,000 - $136,000 a year
Work closely and collaboratively with product management within the Buyer Experience org to help shape Etsy’s buyer strategy and vision.
2+ years of experience as a data scientist or analyst during which you extracted insights from large datasets
Experience in an e-Commerce setting is a plus
Mastery of SQL, and experience with R/Python and other scripting/automation techniques
Conduct analysis on our buyers’ behavior, helping us better optimize the features they need to complete and continue their purchase journey
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Greater Indianapolis, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Years of experience in a data science role
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Indianapolis, IN, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
2+ years of experience in a data science role
Data Scientist, Decision Analytics & Optimization
By BioSpace At Indianapolis, IN, United States
Have experience with finance, commercial, and ethics applications, simulation, and/or modeling complex systems.
Proven experience producing computationally efficient software to meet real-time requirements.
Solve complex business and healthcare problems with advanced analytics and AI/ML methods, particularly in finance.
Bachelor’s in Statistics, Operations Research, Physics, Computer Science, Engineering or quantitative related field with five years of hands-on data science experience
Strong written and verbal communication skills
Experience with Advanced Analytics and AI/ML in cloud environments (e.g. AWS)
Data Scientist, Enterprise Analytics
By IGS Energy At Ohio, United States
Work closely with stakeholders, end-users, and business analysts to understand requirements and scope project
Comprehensive healthcare benefits including medical, dental, vision, and employer health savings account contributions
And more, such as paid time off, flexible spending, employer paid life and disability, employee assistance program, and domestic partner benefits
Analyze various data to understand relationships, integrity and how data can be leveraged
Maintain and develop quality standards for data assets within pipeline
Proactively partner and field requests from business partners for prospective, in-flight, and future ML pipelines

Are you a data analytics and engineering scientist looking to make an impact? We are looking for a passionate and experienced individual to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts to create data-driven solutions that will drive our business forward. If you are excited by the prospect of working on challenging projects and pushing the boundaries of data science, this is the job for you!

What is Lead Data Analytics and Engineering Scientist Skill Requirements?

• Strong knowledge of data analytics, engineering, and scientific principles
• Proficiency in programming languages such as Python, R, and SQL
• Ability to analyze large datasets and draw meaningful insights
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively

What is Lead Data Analytics and Engineering Scientist Qualifications?

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in data analytics, engineering, and/or scientific research
• Experience with machine learning and artificial intelligence
• Experience with data visualization tools such as Tableau and Power BI

What is Lead Data Analytics and Engineering Scientist Knowledge?

• Knowledge of data mining and predictive analytics
• Knowledge of statistical analysis and modeling techniques
• Knowledge of cloud computing platforms such as AWS and Azure
• Knowledge of data security and privacy protocols

What is Lead Data Analytics and Engineering Scientist Experience?

• Experience with data engineering and ETL processes
• Experience with data warehousing and data lake architectures
• Experience with data governance and data quality management
• Experience with data analysis and reporting tools

What is Lead Data Analytics and Engineering Scientist Responsibilities?

• Develop and implement data analytics and engineering strategies
• Analyze large datasets to identify trends and patterns
• Develop predictive models and machine learning algorithms
• Design