Data Scientist II
3 days ago
RoleSummary
As the leading deliverycompany in the region we have a great responsibility andopportunity to impact the lives of millions of customers restaurantpartners and riders. To realize our potential we need to advanceour platform to become much more intelligent in how it understandsand serves our users.
As a data scientist on the analysistrack your mission will be to improve the quality of the decisionsmade across product and business via relevant reliable andactionable data. You will own a particular domain across productand business and will work closely with the corresponding productand business managers as part of a talented team of data scientistsand data engineers. You will own the entire data value chainincluding logging data modeling analysis reporting andexperimentation.
Whats On YourPlate
- Leveragingambiguous business problems as opportunities to drive objectivecriteria using data.
- Developing a deepunderstanding of the product experiences and business processesthat make up your area of focus.
- Developing adeep familiarity with the source data and its generating systemsthrough documentation interacting with the engineering teams andsystematic data profiling.
- Contributing heavilyto the design and maintenance of the data models that allow us tomeasure performance and comprehend performance drivers for yourarea of focus.
- Working closely with product andbusiness teams to identify important questions that can be answeredeffectively with data.
- Delivering wellformedrelevant reliable and actionable insights and recommendations tosupport datadriven decision making through deep analysis andautomated reports.
- Designing planning andanalyzing experiments (A/B and multivariatetests).
- Supporting product and businessmanagers with KPI design and goalsetting.
- Mentoring other data scientists intheir growth journeys.
- Contributing toimproving our ways of work our tooling and our internal trainingprograms.
What Did WeOrder
TechnicalExperience
- ExcellentSQL.
- Competence with reproducible data analysisusing Python or R.
- Familiarity with datamodeling and dimensional design.
- Strong commandover the entire data analysis lifecycle including; problemformulation data auditing rigorous analysis interpretationrecommendations and presentation.
- Familiaritywith different types of analysis including; descriptive exploratoryinferential causal and predictiveanalysis.
- Deep understanding of the variousexperiment design and analysis workflows and the correspondingstatistical techniques.
- Familiarity withproduct data (impressions events ..) and product health measurement(conversion engagement retention..).
- Familiarity with BigQuery and the GoogleCloud Platform is a plus.
- Data engineering anddata pipeline development experience (e.g. via Airflow) is aplus.
- Experience with classical ML frameworks(e.g. Scikitlearn XGBoost LightGBM ...) is aplus.
Qualifications:
- Bachelorsdegree in engineering computer science technology or similarfields. A postgraduate degree is a plus but notrequired.
- 3 years of overall experience workingin data science and machinelearning.
- Experience doing data science in anonline consumer product setting is a plus.
- Agood problem solver with a figure it out growthmindset.
- An excellentcollaborator.
- An excellentcommunicator.
- A strong sense of ownership andaccountability.
- A keep it simple approach to#makeithappen.
RemoteWork :
No
EmploymentType :
Fulltime
Key SkillsLaboratoryExperience,Immunoassays,MachineLearning,Biochemistry,Assays,ResearchExperience,Spectroscopy,Research & Development,cGMP,CellCulture,Molecular Biology,Data Analysis Skills
Experience: years
Vacancy: 1
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