Data Scientist I

Data Scientist I

Overall Position Description

• The logistics industry continues to evolve at an extraordinary pace as big data and technology enhancements drive the demand for change. For England Logistics (EL) to maintain its stature as a leader in the industry we must maximize the opportunity to consume and translate data to help drive our business decisions. The role of Data Scientist is integral in providing the insight and tools necessary to accomplish this objective. This individual is expected to have advanced skills in a variety of statistical techniques along with analytical techniques including Python, SQL, data mining and data modeling. The main responsibility of this role is to determine opportunities for Data Science or Machine Learning projects, to prepare and present the results of these projects and then to incorporate the results into the business. Other responsibilities include obtaining, cleansing, mining, and interpreting big data. This individual helps identify additional data sources that are applicable to the transportation industry in order to provide substance, detail and integrity to various analytical outputs. By utilizing different modeling tools and identifying data patterns this position helps facilitate business insights and decision making.
• The Data Scientist consistently demonstrates a positive and hardworking attitude, a continuous commitment to personal, organizational and process improvement and to build strong partnerships, one employee and one customer at a time.

Essential Functions and Results Expectations

• Experience with machine learning, statistical analysis and predictive modeling
• Experience with a variety of statistical modeling tools
• Exposure to CI/CD pipelines
• Responsible for cleansing, mining, interpreting and organizing big data (ETL)
• Seeks data sources that are applicable to the transportation industry for consumption and analysis
• Utilizing various modeling tools, seeks data patterns to help facilitate business insight and decision making
• Strong data discovery, visualization, and analysis skills
• Proven success in problem solving
• Demonstrated ability to successfully take initiative
• Advanced skills in Python and SQL
• Experience using APIs (example REST, SOAP)

Essential Duties and Functions

• Timely completion of tasks as assigned
• Requires little to no supervision, relying on extensive experience and judgement
• Defines and designs intermediate to complex reporting and KPI output strategies to support business objectives
• Strong knowledge of various divisional datasets, locations and architecture sets as well as business process

Essential Behaviors

• Analytical mindset with strong problem-solving skills.
• Fosters teamwork, collaboration, and cohesiveness within the team dynamic.
• Excellent communication skills for collaborating with technical and non-technical stakeholders.
• Proactive and self-motivated with a strong sense of ownership and accountability.
• Ability to work effectively both independently and as part of a team.
• Strong attention to detail and commitment to delivering high-quality solutions.

Requirements

• Bachelor’s Degree. Preferred Masters Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field.
• Strong data discovery, visualization, and analysis skills
• A genuine desire to organize data and make it accessible with the technical skills to bring your ideas to reality

Work Environment

• Actively contribute to a culture based on our COACHTeam core values.
• 7am – 4pm work day.
• Expand schedule as necessary to meet business objectives and deadlines

Physical demands

• Extended periods sitting
• Extended periods working at a computer

Equal Employment Opportunity

We use the criteria of merit, qualifications, and abilities to determine hiring decisions and promotions within the organization. England Logistics does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, sexual preference, genetic information, or any other segmenting factor protected by law.