What are the responsibilities and job description for the Data Scientist position at AdientOne LLC?
• Responsible for elicitation, analysis, and documentation of business requirements.
• Research and exploration of user requirements, costs, and benefits in support of documentation required for the demand management process.
• Responsible for analyzing the business needs to identify new processes and process improvements that will meet those needs.
• Documents current business processes and models to define requirements and/or gaps.
• Analyze detailed system factors including input/output requirements, information and paper flow, hardware, and software needs.
• Analyze “soft" system factors including roles, responsibilities, policy, culture, etc.
• Evaluate the impact of potential software and process changes on the organization.
• Develop and facilitate groups as necessary in pursuit of eliciting and defining requirements.
• Assist in the creation of the business case documentation.
• Understanding of architectural consistency and usability standards.
• Defines and develops user test cases and validates test results during testing.
• Executes unit and functional test cases.
• May conduct system demonstrations and training sessions, as well as participate in design/review of training content.
• Plays a third level support role by helping to troubleshoot and resolve issues with production systems.
• Participates in associate meetings and communicates any concerns to management.
QUALIFICATIONS AND REQUIREMENTS:
• Bachelor’s degree in computer science, Information Systems, Business, or another related field or equivalent work experience.
• Proven experience leading data migration requirements from legacy systems into a new ERP (Sage X3) environment
• Strong hands-on expertise in requirements elicitation, documentation, and management, with emphasis on data mapping, transformation rules, and validation
• Deep understanding of data structures, data quality, and migration best practices, with the ability to identify gaps and risks early
• Self-driven and accountable professional with strong stakeholder management and communication skills, able to drive outcomes with minimal oversight
• Working knowledge of Confluence and JIRA.
• Experience in any of the following business areas is desired: Sales operations, order entry, accounting, finance, procurement, warehouse operations, order management, and order fulfillment.
• Minimum of 3-5 years’ business analysis or systems analysis experience is preferred.
• Bonus: Sage X3 experience (ERP).
Associate is expected to operate at a proficient level across the following areas of technical knowledge and skill:
• Ability to organize and prioritize work.
• Detail oriented, proactive, creative, and efficient
• Intermediate level abilities in Excel, Outlook, PowerPoint, Visio, and Word
• Familiarity with application integration methods to include understanding of data mapping process.
• Ability to effectively work both independently and collaboratively in a team environment
• Ability to work on simultaneous and complex projects, with domain expertise in at least one business area.
• Expertise in ERP solution selection and implementation is a plus
• Ability to communicate effectively to both technical and non-technical audiences in written and non-written format
• Ability to work with all levels of associates
• Ability to work with minimal supervision in a very dynamic environment
• Ability to learn new systems and tools
• Knowledge of software development life cycle methodologies, processes, and procedures.
• Active listener
• Effective in a variety of formal/informal presentation settings: one-on-one, small, and large groups.
Job Title: Data Scientist
Location: Ridgefield, CT (Hybrid)
Duration: 6 Months
W2 Only
Duties:
The primary focus of the Data Scientist candidate will be to work with a business team to analyze data sets and design analytical solutions. Responsibilities include translating idea to data, data preparation, analysis and modelling, user testing, product development and maintenance.
Requirements:
- Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred
- Major or minor in related field
- Graduate and Advanced Degree preferred
Onsite/Flex*: This position is site based with flexibility for remote working. Working onsite a minimum of 2-3 days per week is required. Remote working norms will be clarified during the interview process.
Skills:
- BA/BS or MS in Computer Science, Data Science, or another STEM field.
- Experience with Data Visualization Tools.
- Strong command of Microsoft Excel and PowerPoint.
- Proficient in Python and or R, SQL.
- Experience of distributed computing (Hive/Hadoop) is a plus.
- Understanding of database and analytical technologies in the industry.
- Experience or coursework in machine learning and/or deep learning packages available for R and Python
- Experience working with large and complex healthcare datasets, preferably patient-level longitudinal data and experience with studies of adherence, healthcare utilization, drug abandonment, patient journey, etc.
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.
- Ability to collaborate in a team environment and excel working in a VUCA environment.
- Strong oral and written communication skills