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Director Data Analyst Machine Learning Jobs in New York

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in New York?

The most popular types of Data Analyst Machine Learning jobs in New York are:

What are popular job titles related to Director Data Analyst Machine Learning jobs in New York?

For Director Data Analyst Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in New York look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in New York are:

What cities in New York are hiring for Director Data Analyst Machine Learning jobs?

Cities in New York with the most Director Data Analyst Machine Learning job openings:

$75K - $90K/yr

Full-time

Re-posted 19 days ago


Job description

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.


We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.


Job Description

  1. 3 or more years’ experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python – especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS’ through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others


Candidates that do not demonstrate all of the above are still strongly encouraged to a

apply


  1. Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios