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Analytics Data Science
2 months ago
Responsibilities
- Understanding the overall Business Strategies, vision, plans and
specific requirement to align with Data Science efforts
- Agree with the customer on the Acceptance Criteria and
communicate to the team
- Making sure the team understands the Business Processes and
data
- Manage EDA (Exploratory Data Analysis), Data Sourcing/Cleansing,
Data preprocessing data munging and create training data sets
- Ensuring appropriate and correct modelling techniques are used
- Guide the team in deployment of the statistical model using the
technology of customers’ preference
- Making sure the Data Pipeline, Machine Learning Pipeline and
Monitoring activities are set for Continuous Integration, Continuous
Development and Continuous Testing
- Act as the go-to-person for all the issues in Machine Learning Life
Cycle
- Partners with IT and business teams to effectively operationalize
models
- Ensure continuous monitoring through the system and advise on
fine-tune/re-build the models
The Role offers
- Opportunity to join a global team to do meaningful work that
contributes to global strategy and individual development
business and operations
skills and problem-solving ability
- Ways to grow as an individual and expand the domain knowledge
to be able to add value
Essential Skills
- Provide expert advice on identifying patterns in data. This includes
having a keen sense of pattern detection and anomaly detection.
- Machine learning & Deep Learning: Hands on experience
- Experience with Natural Language Processing techniques
- Hands-on experience with SQL
- Hands on in statistical software packages (e.g., R, Python, SAS or
SPSS)
- At least one cloud platform experience ( E.g. Azure, AWS or GCP
)
- Exposure to Natural Language Generation
- Data storytelling: Communicate actionable insights using data,
often for a non-technical audience.
- Business intuition: Connect with stakeholders to gain a full
understanding of the problem at hand
- Interpersonal skills: Communicate across a diverse audience
across all levels of an organization.
Essential Qualification
- BSc/BA in Computer Science, Engineering or relevant field;
graduate degree in Statistics or another quantitative field is preferred
- Preferred PHD in Data science/Statistics
**Salary**: ₹1,500,000.00 - ₹2,000,000.00 per year
**Benefits**:
- Cell phone reimbursement
Schedule:
- Day shift
Supplemental pay types:
- Performance bonus
Ability to commute/relocate:
- Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- total work: 6 years (preferred)
Work Location: In person
**Speak with the employer**
+91 7490075060
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