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Job Description
Responsibilities
- Work with, as needed, customers to understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques.
- Work collaboratively with the rest of the data science team, data engineers, developers and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques.
- Study data sources and find insights/correlation to investigate how data science can be used to solve existing and new business challenges.
- Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain.
- Use best practices in applying and deploying data science at scale.
- Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others.
- Ability to effectively communicate technical concepts to both technical and non- technical staff members and customers.
- Proficiency in data analysis and programming languages such as SQL, Python, and R.
- 5+ years hands-on experience in machine learning, statistics or experiment design.
- Masters Degree required in Statistics, Mathematics, Econometrics, Operations Research,
- Expertise in machine learning, statistics, data analysis.
- Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability.
- Demonstrated experience in applying machine learning to real-world problems.
- Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS.
- Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus.
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- Machine Learning, Masters degree required in statistics, Mathematics, econometrics
- Cloud computing platform
Skills
PythonData AnalysisData ScienceMachine LearningSqlData ScientistIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Entytle, Inc. is the only AI-powered SaaS platform that unifies customer data, generates actionable insights, and automates customer engagement across the enterprise. Entytle's platform, Entytle Insyghts™, helps B2B manufacturers transform commercial operations by enabling customer-centricity and driving profitable growth. Customers include manufacturers in the life sciences, industrial, and specialty chemicals markets.
Important dates & deadlines?
Application Deadline
24 Nov 25, 04:59 PM IST
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