Staff Data Science Engineer

nn At Echo we are committed to help our Associates grow their career.

Apply today and grow with Echo!

nn nn-nn nn-nnEcho Global Logistics is a leading provider of technology-enabled transportation management services.

As a third-party logistics provider, we simplify transportation management for our clients and carriers, handling crucial tasks so they can focus on what they do best.

From coast to coast, dock to dock, and across all major transportation modes, Echo connects businesses that need to ship their products with carriers who transport goods quickly, securely, and cost-effectively.nn nn nn Position Overview: nn nnAs a Staff Data Science Engineer on the Echo Global Logistics team, you will contribute to engineering of large scale web-based applications to enable Echo’s business while supporting architectural vision of quality, scalability, performance and function.

Our proprietary software is created with the goal to simplify transportation for our customers and carriers, and is one of our largest competitive advantages in an ever growing market.nn nn nn nnEcho Global Logistics was recently ranked in 2020 by Crain’s Business as a Top 25 Tech Company in Chicago and we are continuing to see increased growth in virtually all of our technical teams.

We look forward to continued success with you as part of our team!nn nn nn nn nn nn What You’ll Do: nn nnBuild and maintain machine learned models, algorithms and scalable automated data pipelines from the ground up to solve for real-world business challenges.nn nnLead the data science engineering practice within the IT organization, mentor members of the team, represent the practice to groups outside of the IT organization.nn nnLead the evaluation and adoption of new technologies and techniques.nn nnStrategically partner with various Echo stakeholders and business teams to understand measurement requirements, help define them into Key Performance Indicators.

Then, working with the Data Science Engineering team, drive and deliver insights and business operation improvements through reliable, regular and repeatable data models and/or data services.nn nnStrategically partner with other data science teams to build and improve prescriptive analytics and predictive modeling.nn nnWork with Echo’s data engineering and product teams to define and validate data sources, instrumentation, and operational data flow.nn nnSupport regular ad-hoc data and analysis needs to better understand customer and/or stakeholder behaviors.

Support teams in running growth programs and A/B tests through analyzing results and communicating findings and insights.nn nnUnderstand, monitor, QA, translate, collaborate with business teams to ensure ongoing data quality.nn nn nn nn Responsibilities: nn nnLeading contributor to technical design, including overall solution architecture of data servicesnn nnProduce performant and valid data models using current methods and technologiesnn nnDrives interactions with Business Stakeholders and Technical team membersnn nnProduce high quality code using proper industry best practices in an Agile environmentnn nnLeading contributor to the selection of appropriate tools & technologies to effectively implement enterprise software solutionsnn nnParticipate in Quality Assurance practices by contributing in test planning and executionnn nnParticipate in CI/CD practices by contributing to automation of application build, deployment and configurationnn nn nn nn Requirements: nn nn10+ years of relevant professional experiencenn nnBachelor’s Degree preferred or equivalent related work experiencenn nnProblem Solver
– optimistically work within constraints to drive consistent value delivery for your product/business/technical domainnn nnAptitude
– Understands both the broader technical and business context domains, and effectively applies appropriate technology solutions.nn nnCommunication
– Concise, accurate, impactful, timely and proactive, ability to speak with Senior Business Leaders and Executive Technical Leadershipnn nnComputer Science Knowledge
– consistently & effectively apply & evangelize OOP, Data Structures, Machine Organization, Algorithms, Software / Enterprise patterns, Big O in both implementation and enterprise scalenn nnInfluencer
– Is seens as a change agent across the IT orgnn nnDecision Making
– Ensures team tactical decision making is in alignment with the strategic goals of the org.nn nnLeadership
– Ability to mentor and teach to the IT org around specific areas of technological expertise.nn nnAdaptability
– able to deal with constant change and ambiguity to maintain progress in alignment with product area/domain objectivesnn nn nn nn Work environment/physical demands summary: nn nnThis job operates in an office environment and uses a computer, telephone and other office equipment as needed to perform duties.

The noise level in the work environment is typical of that of an office with an open seating floor plan.

The employee may encounter frequent interruptions throughout the work day.

The employee is regularly required to sit, talk, or hear.nn nn nn nn nn nn All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.

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