Data Scientist (Delivery)

In the Story of Snappfood, we believe in creating value that goes beyond the ordinary. We are wiling to establish innovative tendencies and are eager to have you on our team to help us get through our business challenges with creativity, intelligence, and agility.
We are waiting for you to continue this story.

Responsibilities:

• Work closely with Delivery Operation team to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers

• Generate and extract data needed for decision making

• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources

• Acquire data from primary or secondary data sources and maintain databases/data systems

• Design and develop metrics, reports, analyses, and dashboards to drive key business and product decisions in order to improve performance and reduce costs

• Conduct deep-diving data analysis for business insights and recommendations

• Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses

• Produce written documentation to support your work, report on your findings and to present to stakeholders when necessary

• Design and deploy some machine learning models and assessments.

Requirements:

• knowledge of logical and physical data modeling concepts

• Technical expertise regarding data models, database design development, data mining and segmentation techniques  Expert in working with visualization tools Tableau/ Power BI/ Grafana

• Ability to translate business requirements into non-technical, lay terms.

• Excellent knowledge of data generation and analysis tools especially Excel, SQL, python

• Understanding data science algorithm and know how to choose and deploy them

• Technical writing experience in relevant areas, including queries, reports, and presentations

• Minimum of 2 years’ experience in data teams as data analyst or related fields.

• Working experience in a related e-businesses with big scale data sets.

• Prior experience with database and model design and segmentation techniques

Benefits:

• Vouchers for vacation, Gym, Therapy Sessions, Intervnet Costs
• Complementary Insurance
• Educational platform of advanced courses
• Snappfood’s Discount codes
• Loans