Data Science - Assistant Manager Work Set-up:Hybrid (at least twice a week on-site)

Gratitude Inc

2791 Views

14 hours ago

5-15 Year(s)

₱ 50 - ₱ 55K p.m

Manila (Mandaluyong)

Job Description

Key Skills

Analysis Automation Data Analysis Data mining Data Processing Problem solver Problem Solving Project management Python Analytical Skills Automation Tools data scientist Quantitative Modeling python using selenium

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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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