Data Scientist - II ( 3- 5 Yrs, Databricks, Pyspark, Statistical Analysis, ML, DL)
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- Work arrangement
- hybrid
- Employment
- Employee, Full Time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 3
“3+ years of proven working experience as a data scientist”
See matched passage in original description ↓ - Employment type
- Employee, Full Time
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
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- Security clearance
- Not mentioned
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- Citizenship requirement
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- Compensation
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Original job description
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What you'll do
In the Reporting and Data Analytics Team of the Maps Platform and Operations department you will use a modern data architecture to:
Analyze data from various internal sources and define metrics
Show less description
Design, develop and maintain data processing pipelines to use these data sources individually or combined
Develop processes and tools to monitor and analyze model and system performance and data accuracy
Create and or improve descriptive, predictive, and potentially prescriptive analytics
Provide outcome in a clear and concise manner to stakeholders
What you'll need
3+ years of proven working experience as a data scientist
Thorough knowledge of modern data platforms
Experience in designing, developing, and monitoring stable and performant software with minimum guidance
Knowledge of statistics and experience using statistical packages for analyzing large data sets and applying predictive analytics
Experience with Scala, Python, SQL
Background in mathematics, economics, computer science, engineering, information management or statistics
Effective English written and verbal communication skills
Agentic coding
What’s nice to have
Experience using BI tools
operational management background
operational research
Prior experience with working with geospatial and map data
Original formatting and links
What you'll do
In the Reporting and Data Analytics Team of the Maps Platform and Operations department you will use a modern data architecture to:
- Analyze data from various internal sources and define metrics
- Design, develop and maintain data processing pipelines to use these data sources individually or combined
- Develop processes and tools to monitor and analyze model and system performance and data accuracy
- Create and or improve descriptive, predictive, and potentially prescriptive analytics
- Provide outcome in a clear and concise manner to stakeholders
What you'll need
- 3+ years of proven working experience as a data scientist
- Thorough knowledge of modern data platforms
- Experience in designing, developing, and monitoring stable and performant software with minimum guidance
- Knowledge of statistics and experience using statistical packages for analyzing large data sets and applying predictive analytics
- Experience with Scala, Python, SQL
- Background in mathematics, economics, computer science, engineering, information management or statistics
- Effective English written and verbal communication skills Agentic coding
What’s nice to have
- Experience using BI tools
- operational management background
- operational research
- Prior experience with working with geospatial and map data
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