Specific Role requirements
- Must have at least 2 years of deep experience in building descriptive/ predictive analytical solutions.
- Must be able to clearly understand and articulate a data science problem and work on it independently.
- Must be able to guide other team members regarding data science problem solving approach.
- Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning technique like—linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering, recommendation engines and forecasting.
- Ability to work on big data is a plus.
Client Responsibilities:
- Need to be curious and ask the right questions to frame problems and find right analytic solutions
- Need to work as a senior team member to contribute in various technical streams of Decision Sciences implementation project.
- Provide product and design level technical best practices
- Interface and communicate with the onsite coordinators
- Develop analytical strategies for business by leveraging the right analytical techniques and technologies
- Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
- Completion of assigned tasks on time and regular status reporting to the lead
Experience and Qualification:
- B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering or CA with strong quantitative background and adequate industry experience
- Should be at least around 3-5 years of experience in Analytics
- Should have understanding and experience of analytics best practices.
- Excellent business communication, Consulting, Quality process skills
- Must be a team player and team leader
Your people responsibilities (For People Leading Roles)
- Building a quality culture
- Manage the performance management for the direct reportees, as per the organization policies
- Foster teamwork and lead by example
- Training and mentoring of project resources
- Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)
- Participating in the organization-wide people initiatives
Additional Skills requirements
- Experience in Banking/ Finance domain
- Prior Client facing skills is a plus
- Excellent written and verbal communication skills
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