Junior Data Scientist

Junior Data Scientist

80K Plus Bonus and Benefits

Must be able to work onsite 5 days a week.

College Point, NY

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

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

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.

• Experience effectively translating between business value, requirements, and technical solutions
• Demonstrated ability to take real-world analytics/data science projects from start to finish –
  
  

including data cleaning, descriptive analysis, predictive modelling, and visualizations

• Advanced knowledge of Python with respect to the data analysis and machine learning stacks
• Experience in extracting, cleaning, and aggregating from different data sources
• Experience in building models using statistical modelling techniques and machine learning models
• Experience with building, diagnosing, and improving time series models
• Prior experience with demand forecasting and/or pricing analytics is a big plus
• Comfortable with using SQL to extract and transform data. Advanced knowledge of querying SQL databases and writing stored procedures is a big plus
• Familiarity with Docker and Docker Compose
• Experience interacting with *nix OS’ through the command line
• Familiarity with numerical optimization is a plus
• Familiarity with Apache Airflow is a plus
• Familiarity with Plotly Dash 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 Power Point)
• 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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