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Position: - Data Science
Experience: - 1 – 3 years
Location: - Noida (permanent work from home)
Joining: - Immediate

Job Description: -

Data Science Analyst – Job Description

As a Data Science Analyst, you will be working on client specific projects and will be expected to understand the client data architecture. You will be required to use different technical skills and a variety of tools to generate actionable insights from a variety of client data sources. Your focus shall remain on solving business problems while working with structured as well as unstructured data. Dealing with ambiguity, yet providing a structured approach to resolve client’s business issues will be a key requirement in this client facing role

Background:
  • Graduate with an engineering degree (preferably Computer Science) or a degree in statistics/math with experience in coding or equivalent
  • Post Graduate with analytical pedigree (preferably Operations Research, Econometrics or MBA equivalent with analytical electives)
  • 1-3 years of relevant experience in Analytics as a Data Scientist. Knowledge of Retail Analytics
domain is required. Relevant analytics experience in Operational and Sales Analytics is a plus
  • Certification in Data Science coursework from internationally recognized platforms will be a plus
  • Performance metrics in Kaggle and Analytics Vidhya Data Science competitions will be a plus
Key Skills:
  • Knowledge of advanced statistical techniques and concepts (regression, properties of
distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning,
artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw
insights from large data sets.
  • Experience working with and creating data architectures
  • Able to work with Data visualization & communication tools such as Oracle BICS, Adobe
Analytics, and Tableau/Power BI
  • Data munging: able to work across different data sources (structured or unstructured)
  • Working knowledge of Relational Database Systems and SQL
  • Excellent client presence and communication skills (written and verbal)
  • Proficiency with MS PowerPoint and MS Excel
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi,
MySQL, etc.

Must haves:
  • Advanced Excel, SQL, Python, Tableau
  • Ability to work with Salesforce database and build data flows/API integrations with other
systems

Good to have:
  • Marketo
  • Outreach
  • Intact
  • Lifeline-Internal custom accounting system
Role and Responsibilities:
  • Client Interaction and Management
– Understanding the client objective and managing client expectations on projects along with
the
– Account Manager
– Independently work with client to scope and deliver on projects as a part of larger team
– As part of a larger team, align requirements on different work streams and tasks assigned by
the client
– Lead client calls wherever required

  • Project Management
– Making significant contributions to the design of the analytical approach and work plan
– Being responsible for smooth project operations – overall project quality and productivity of
teams

  • Other Initiatives
– Participating in organization-improvement initiatives and activities such as knowledge
management
– Conducting skill-based internal training sessions independently
– Helping the organization in scaling up by actively participating in recruitment drives at the
premises or on campus.

Note: Charges
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Deadline: 20-06-2024

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