Senior Data Scientist

1 day ago


New York, United States Carrie Rikon & Associates, LLC. Full time

Senior Data Scientist

100K Plus Bonus and Benefits

Must Be Able To Work Onsite 5 Days A Week.

Location: College Point, NY

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

Application Requirements:

  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.

We are a 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 and Requirements:

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