Company Name:-
DataMetica

Job Location:-
Pune, Maharashtra

Job Summary:-
Job Description
Roles and ResponsibilitiesDesignation: Analytics Manager
Job Location: Pune
Experience: 10 to 12 years
Education: Bachelor’s or Master’s degree in quantitative field (e.

g.

, Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research)
Job Description
Key Roles/Responsibilities:
Liaison with customers on analytics solutions and identify new opportunities.

Work closely with the Pre-Sales & Business development team to acquire new clients for Analytics.

Responsible for managing, developing and maintaining analytics to solve complex business problems
Responsible for formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements.

Responsible for data and requirements gathering; solution scoping and architecture
Responsible for creating SOWs, proposals for Analytics solutions
Work closely with Data Scientist team to deliver solutions using advanced statistical, machine learning and deep learning techniques
Ability to generate insights and demonstrate value to customers
Test various machine learning and analytical tools, build prototypes which can be easily scaled up for production deployments
Experience of working on Cloud Platforms (GCP/Azure) and Cloud Native AI / ML Components and services
Experience of big data technologies and distributed computing concepts will be an advantage.

Excellent Project Management skills with the ability to manage multiple analytics projects simultaneously to achieve business results
Good knowledge of SQL and high level proficiency in R / Python.

High-level proficiency in statistical, machine, deep learning techniques such as regression, Bayesian methods, tree-based learners, SVM, NN etc.

Excellent Problem solving skills with the ability to translate business objectives into analytical frameworks
Mandatory Skills:
Great communication skills, ability to meet deadlines and prioritize workload.

Demonstrated high degree of organization and ability to manage multiple, competing priorities
Should possess extensive knowledge of and experience in applying data mining and machine learning techniques in a project context
Excellent understanding of machine learning, deep learning,

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