Data Science - Assistant Manager Work Set-up:Hybrid (at least twice a week on-site)
Job Description
Key Skills
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Data Science - Assistant Manager
Work Set-up:Hybrid (at least twice a week on-site)
Work Shift: Night shift
Location: EDSA Greenfield, Mandaluyong
Salary: 50k-55k
*No. of Openings:* 1
*Description / Requirements
*Qualifications:*
- Data Scientist with expertise in data modeling and predictive analytics (not Data Analyst or Data Visualization Specialist)
- Proficiency in Python for Machine Learning and Data Modeling (Predictive Modeling)
- Background in automation
*Responsibilities:*
*Quantitative Modeling:*
- Apply data analysis, mining, and processing to present data clearly.
- Utilize data mining techniques and software development to investigate leads and identify patterns.
- Develop data models using advanced statistical modeling, data mining, and machine learning methods.
*Business Problem Framing:*
- Manage problem definition and hypothesis formulation.
- Assist in conceptualizing analytical projects and breaking down problems for solvability.
- Partner with stakeholders to translate business problems into data science projects.
Analytics Problem Framing:
- Plan the development of analytical solutions from initial design through implementation.
- Provide advice on data analysis models based on project requirements.
- Maintain advanced knowledge of industry trends.
*Insights Generation:*
- Develop actionable recommendations and evaluate experiment outcomes.
- Guide stakeholders on acting on findings and synthesize insights into presentations.
- Assist with storytelling of research and/or analytics findings.
*Project Management:*
- Assist in planning project timelines, resources, and setting work quality guidelines.
- Deliver projects within time, quality, and budget constraints.
- Prepare documentation outlining data sources, models, and algorithms used.
**Information Systems Implementation:**
- Develop prototypes and proof of concepts for selected solutions.
- Implement automated processes for quantitative models at scale.
- Collaborate with the development team to build tools for data visualization and advanced analytics.
**Data Collection:**
- Recommend data types and sources needed to measure and predict outcomes.
- Integrate multiple data sets to build complex data sets.
**Data Processing:**
- Build data flow channels and processing systems for data extraction, transformation, and integration.
**Data Governance:**
- Validate data sources, methods of preparation, and quality.
Qualified candidates can apply by emailing their application to daniel.mwai@gratitudeindia.com
Role
Any Other
Timings
Night Shift (Permanent)
Industry
BPO
Work Mode
Hybrid
Functional Area
Any Other
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