Data Scientist

Data Scientist

Location: Remote

(If/when they go perm they need to be open to being onsite 2-3 days/week at the closest office/station – Offices all throughout the US)

PR: $40-60HR

Term: 6-12 month contract to hire

Interview process: 2 Video Interviews to Hire

Ideal Start Date: 2/24

Skills & Qualifications
• 1-5 years of experience in the field of data science.
• Being familiar with analyzing complex datasets and deep knowledge of machine learning, statistics and/or mathematical optimization.
• Having programming skills or experience in scripting languages (Python and SQL)
• Strong experience writing queries in SQL
• Data Querying / Building Machine Learning Models
• Ability to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.
• Comfortable explaining complex analytical and technical content to various audiences
• Degree in Data Science, Mathematics, Statistics, Physics, Computer Science or related field

Plusses:
• Experience with Dataiku (similar tools = Databricks & SageMaker)

Day to Day:

Responsible for the data analysis, data cleansing, reporting, data modelling & monitoring in Commercial division of the company. Develop statistical/mathematical/analytical models and interpret the model results in the business context and prepare them for discussions with business.

Tasks
• Performs sophisticated data analyses and cleansing, including evaluating data to determine data validity, identify patterns, trends and/or outliers
• Create reports, visualizations, presentations & executive summaries to present findings to stake-holders to review, analyze, and action.
• Support the execution of data science projects in collaboration with the supervisor.
• Involvement in the analysis of the business processes for derivation of problem areas and analytical requirements to propose and execute appropriate mathematical methods and interpret the results with guidance from supervisor.
• Find opportunities to improvise and automate existing reports, tools and solutions.
• Identifies key barriers/core problems and applies problem-solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems.
• Support the anchoring of data-driven decisions in operating business.
• Demonstrate strong business acumen by understanding industry trends, market dynamics, and organizational goals to effectively translate data insights into actionable business strategies and solutions.