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Associate Data Scientist

Hayden AI

San Francisco, California • Today

Full-time

USD 120,694.00 - 156,920.00 per year

Associate Data Scientist 2027 - AI & Data Analytics

IBM

San Francisco, California • Today

Full-time

Associate Director, Data Scientist

Gilead Sciences, Inc.

Foster City, California • Today

Full-time

USD 210,375.00 - 272,250.00 per year

Associate Data Scientist

Amplify

Remote • Today

Full-time

USD 95,000.00 - 110,000.00 per year

Senior AI Data Scientist I

Exelixis

Alameda, California • Today

Full-time

USD 143,500.00 - 203,000.00 per year

Associate Director - AI/ML Data Scientist

Eli Lilly and Company

Remote • Today

Full-time

USD 127,500.00 - 204,600.00 per year

Sr. Associate Data Product Manager

SANS

Remote or Hybrid in New York, New York • Yesterday

Easy Apply

Full-time

$100,000+

Associate Director, DSPV Data, Technology and Innovation

Insmed Incorporated

Remote or New Jersey • Today

Full-time

USD 164,000.00 - 213,000.00 per year

Associate Director - AI & Data, Energy Providers

Navigant Consulting

Remote or McLean, Virginia • Today

Full-time

USD 149,000.00 - 248,000.00 per year

Data Analyst I

Verdantas

San Ramon, California • Today

Full-time

USD 65,000.00 - 68,000.00 per year

Advanced Data Science Associate Consultant - Generative AI and Machine Learning

ZS Associates

South San Francisco, California • Today

Full-time

USD 140,000.00 - 153,500.00 per year

Job Details

Skills

Computer Vision
Optimization
Artificial Intelligence
Data Engineering
Finance
User Experience
Impact Analysis
Root Cause Analysis
Customer Facing
Data Quality
Data Processing
Computer Science
Economics
Data Science
SQL
Data Warehouse
Amazon Redshift
Snow Flake Schema
Python
Data Manipulation
Pandas
NumPy
Dashboard
Business Intelligence
Tableau
Statistics
Analytical Skill
Communication
Geospatial Analysis
Analytics
Time Series
Global Positioning System
Grafana
Cloud Computing
Amazon Web Services
Startups

Computer Vision
Optimization
Artificial Intelligence
Data Engineering
Finance
User Experience
Impact Analysis
Root Cause Analysis
Customer Facing
Data Quality
Data Processing
Computer Science
Economics
Data Science
SQL
Data Warehouse
Amazon Redshift
Snow Flake Schema
Python
Data Manipulation
Pandas
NumPy
Dashboard
Business Intelligence
Tableau
Statistics
Analytical Skill
Communication
Geospatial Analysis
Analytics
Time Series
Global Positioning System
Grafana
Cloud Computing
Amazon Web Services
Startups

Summary

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
Serve as first responder for data discrepancy and freshness issues.
Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
6+ months of Data Science related work, projects or internships.
Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
Solid understanding of descriptive statistics and ability to interpret analytical results.
Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

Previous experience working with geospatial analytics and spatial datasets.
Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
Experience with Grafana or similar operational monitoring tools.
Exposure to cloud platforms, especially AWS.
Prior experience in a startup environment and a desire to make a significant impact.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184590
Position Id: 2d68bdadc7ef7ac96065777732d05d13
Posted 30+ days ago

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Job Details

Skills

Computer Vision
Optimization
Artificial Intelligence
Data Engineering
Finance
User Experience
Impact Analysis
Root Cause Analysis
Customer Facing
Data Quality
Data Processing
Computer Science
Economics
Data Science
SQL
Data Warehouse
Amazon Redshift
Snow Flake Schema
Python
Data Manipulation
Pandas
NumPy
Dashboard
Business Intelligence
Tableau
Statistics
Analytical Skill
Communication
Geospatial Analysis
Analytics
Time Series
Global Positioning System
Grafana
Cloud Computing
Amazon Web Services
Startups

Computer Vision
Optimization
Artificial Intelligence
Data Engineering
Finance
User Experience
Impact Analysis
Root Cause Analysis
Customer Facing
Data Quality
Data Processing
Computer Science
Economics
Data Science
SQL
Data Warehouse
Amazon Redshift
Snow Flake Schema
Python
Data Manipulation
Pandas
NumPy
Dashboard
Business Intelligence
Tableau
Statistics
Analytical Skill
Communication
Geospatial Analysis
Analytics
Time Series
Global Positioning System
Grafana
Cloud Computing
Amazon Web Services
Startups

Summary

Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
Serve as first responder for data discrepancy and freshness issues.
Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
6+ months of Data Science related work, projects or internships.
Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
Solid understanding of descriptive statistics and ability to interpret analytical results.
Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

Previous experience working with geospatial analytics and spatial datasets.
Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
Experience with Grafana or similar operational monitoring tools.
Exposure to cloud platforms, especially AWS.
Prior experience in a startup environment and a desire to make a significant impact.

Dice Id: 80184590
Position Id: 2d68bdadc7ef7ac96065777732d05d13
Posted 30+ days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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Senior Data Science Manager - Worldwide Product Marketing

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