Data Scientist

Insight Global; United States; On-site; Full time

Job summary

Insight Global is seeking a highly skilled Data Scientist to join their Edge Network Services division. This role focuses on enhancing operational efficiency through data-driven decision-making, developing scalable data solutions, and automating financial tracking systems. Candidates should have a strong background in data science, with proficiency in SQL and programming languages, and experience in data visualization tools.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 3+ years of experience in data science, analytics, or a related field.
• Proficiency in SQL and at least one programming language (Python or R preferred).
• Strong understanding of data modeling, ETL processes, and data warehousing.

Responsibilities

• Design, implement, and maintain scalable data pipelines and ETL processes.
• Develop and govern L1/L2/L3 operational metrics to monitor ENS performance.
• Automate tracking systems for Opex and Capex to improve financial transparency.

Skills

SQL

Python

R

Data Visualization

Data Modeling

ETL Processes

Statistical Modeling

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

Tools

Tableau

Power BI

Hive

Presto

Spark

Job description

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $72.00/hr

JOB DESCRIPTION

Insight Global is seeking a highly skilled and motivated Data Scientist to join the Edge Network Services (ENS) division. This role will support the M360 Analytics project, which aims to enhance operational efficiency through data-driven decision-making, robust metrics development, and automation of key financial tracking systems. As a member of the newly formed ENS Analytics team, you will play a critical role in designing scalable data solutions, building and automating data pipelines, and establishing governance for L1/L2/L3 metrics. Your work will directly support the optimization of Opex and Capex tracking, and empower ENS teams with actionable insights through dashboards, reports, and self-service analytics tools. Key Responsibilities: Design, implement, and maintain scalable data pipelines and ETL processes. Develop and govern L1/L2/L3 operational metrics to monitor ENS performance. Automate tracking systems for Opex and Capex to improve financial transparency. Collaborate with cross-functional teams including engineering, finance, and operations to define data requirements and deliver insights. Build interactive dashboards and self-service tools using platforms like Tableau or Meta’s internal tools. Ensure data quality, consistency, and integrity across all analytics outputs. Conduct exploratory data analysis and statistical modeling to uncover trends and opportunities. Translate complex data into clear, actionable insights for technical and non-technical stakeholders.

REQUIRED SKILLS AND EXPERIENCE

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. 3+ years of experience in data science, analytics, or a related field. Proficiency in SQL and at least one programming language (Python or R preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or internal equivalents). Strong understanding of data modeling, ETL processes, and data warehousing. Familiarity with cloud platforms and big data technologies (e.g., Hive, Presto, Spark).

NICE TO HAVE SKILLS AND EXPERIENCE

Experience in infrastructure, network services, or operations analytics. Knowledge of financial tracking systems and cost optimization strategies. Experience with experimentation frameworks and A/B testing.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

• Industries

  Technology, Information and Media

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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