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Data Scientist Lead at Remote, Remote, USA
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From:

Ryan,

nitya software

[email protected]

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Data Scientist Lead

Location : New Jersey

C2C Role

The Data Scientist will support Data Science and BI efforts for the consumer business of customer.

The main responsibility lies in analyzing consumer data from devices, app stores, analytics

systems, data lakes, and the database to provide quality data for quality AI and BI solutions. A

good candidate is someone who is proficient in Python/PySpark, able to analyze data through

visualization/tables/pivot tables, organized, and detail oriented. Expert level knowledge in SQL

queries and database structure is also a must. To be successful in this role, the Data Scientist

will focus on below areas

1. Work with the consumer Analytics team to understand data fields definitions in the

analytics systems, KPIs, and business metrics that are tacked by stakeholders

2. Work with the Data Innovation & Ingestion team to understand consumer data events,

user database, aggregations, and transformations

3. Work with the Product Engineering/Architecture teams to understand systems, data

flows, and events that go into data environments

4. Work with the Product/Business owners to understand business rules and logic

5. Be a data advisor to Data Scientists and Business Intelligence team when it comes to

using consumer data to build AI and BI solutions

6. Use Python/PySpark to visualize data, analyze volumes, trends, and create pivot tables.

Summarize data quality issues and areas for investigations.

Requirements:

Bachelors degree in a STEM field such as Statistics, Math, Engineering, Information

Systems, etc.

7 years of work experience in data/business analysis, analytics, data

visualization, reporting, or data engineering

7 years of work experience in Python/PySpark for data extraction,

transformation, and analysis

7 years of work experience in querying data using SQL and BI tools

7 years of work experience in databases and pulling data with table joins

7 years of work experience with cloud platforms such as AWS

Good communication and presentation skills to explain technical solutions to either

technical peers or non-technical stakeholders

Preferred Skills:

Masters degree in a STEM field such as Statistics, Math, Engineering, Information

Systems, etc.

5 years of work experience in data/business analysis, analytics, data

visualization, reporting, or data engineering

5 years of work experience in Python/PySpark for data extraction,

transformation, and analysis

5 years of work experience in querying data using SQL and BI tools

5 years of work experience in databases and pulling data with table joins

5 years of work experience with cloud platforms such as AWS

Keywords: artificial intelligence business intelligence information technology golang
Data Scientist Lead
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Tue Aug 06 21:23:00 UTC 2024

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