Data Scientist, Data and Metrics Quality Team

Lensa; Seattle (WA); Remote; USD 97,000 - 313,000; Full time

Job summary

A leading company is looking for a Data Scientist in Seattle to join its Data and Metrics Quality Team. The ideal candidate will collaborate with a dynamic team to ensure data quality and develop analytics solutions that meet real-world expectations. This remote or hybrid role requires strong skills in data science and an eagerness to solve complex problems. A successful candidate will play a crucial role in data validation and algorithm design, contributing to impactful projects in mobility analytics.

Qualifications

• 4+ years of experience in data science/statistics.
• Experience using algorithms to infer transportation patterns.
• Very strong communication and analytical skills.

Responsibilities

• Validate and monitor quality of metrics in projects.
• Assist in designing algorithms for data analysis.
• Create visualizations to communicate findings.

Skills

Analysis

Communication

Data Validation

Machine Learning

Education

BS/MS in Mathematics, Computer Science, Urban Planning, or Engineering

Tools

Python

R

SQL

PostgreSQL

BigQuery

Job description

Data Scientist, Data and Metrics Quality Team

Data Scientist, Data and Metrics Quality Team

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Jacobs, is seeking professionals in Seattle, WA. Apply via Lensa today!

StreetLight pioneered the use of Big Data analytics to help transportation professionals and data analysts understand mobility behavior. Applying proprietary machine-learning algorithms to over four trillion spatial data points over time, StreetLight measures diverse travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, StreetLight InSight . From measuring traffic volumes to identifying trip origins and destinations, to planning for electric vehicles charging, StreetLight powers more than 6,000 global projects every month.

StreetLight Data is seeking a creative, versatile, and motivated Data Scientist to be part of our growing team. This team member will be responsible for characterization and quality control for the metrics and data pipeline supporting StreetLight Data’s suite of products. They will help ensure StreetLight’s metrics appropriately meet real-world expectations and customer scenarios, and will also contribute to the development of the analytics and data pipeline as needed. This position reports to the Data Science Manager, Data and Metrics Quality team.

Key Responsibilities

• Characterize, validate and monitor the quality of StreetLight’s metrics, algorithms, and data artifacts.
• Assist with the design and implementation of algorithms to infer key transportation patterns from various data sources.
• Perform Data QA on incoming data feeds and investigate data anomalies.
• Aggregate and process real-world data for modeling and validation efforts.
• Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making.
• Create visualizations and dashboards to help tell stories with data.
• Collaborate with other Data Scientists, Data Engineers and Product Managers to ensure data sources meet quality standards.
  
  

Location: Remote (or hybrid if you prefer partial in office) in the United States or Canada

• BS/MS in Mathematics, Computer Science, Urban Planning, or an Engineering discipline from a top university, or a PhD focused on quantitative research.
• 4+ years of experience in data science and/or statistics, using tools such as Python or R.
• 4+ years of experience in SQL and relational databases (PostgreSQL or BigQuery preferred ), and good understanding of relational concepts.
• Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)
• Strong analytical skills, experience using data to solve problems, inform decision making, and tell stories.
• An eagerness to problem-solve and desire to take initiative in defining requirements for ambiguous projects.
• Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms.
• Highly organized, detail-oriented, and methodical in reporting and documenting work.
• Very strong communication skills - written, visual (presentations) and verbal.
• Technical writing skills. Experience synthesizing complex technical concepts for less technical audiences.
• Quick learner, and a strong team player.
• Geo-spatial skills are a plus.
• Knowledge of transportation data / industry is a plus.
  
  

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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