DATA SCIENCE AND OPERATIONS RESEARCH ENABLEMENT II

Job Summary A Data Science and Operations Research Enablement II is an intermediate role focusing on supporting the integration of advanced analytics and operations research methodologies within the organization.
They assist in improving business processes and decision-making by working with team members to identify and implement data-driven solutions that align with organizational objectives.
With a growing understanding of both business operations and technical methodologies, they contribute to DSOR projects by providing technical support and collaborating with colleagues to deliver insightful and actionable solutions.
They help communicate project results and ensure their work supports value-driven outcomes.
This role requires foundational knowledge in data science, operations research, and business understanding, and a willingness to stay updated on current advancements to aid in the organization’s strategic initiatives effectively.
Job Description Contribute to the implementation of the DSOR Enablement function.
Support DSOR initiatives by assisting with data-driven solutions that improve business processes.
Assist in setting priorities for DSOR projects and support their execution from hypothesis to deliverable.
Work with cross-functional teams, promoting a culture of curiosity and continuous improvement.
Help design user-centric products that align with business goals and enhance decision-making.
Communicate DSOR concepts to team members and stakeholders.
Help track project progress and support project milestones.
Participate in the development of best practices for the DSOR discipline.
Skills / Abilities Ability to assist with leadership and mentorship within a team.
Basic project management skills and the ability to support project activities.
Strong analytical, organizational, and problem-solving skills.
Proficiency with data science and operations research tools and methodologies.
Ability to support strategy and motivate team members.
Strong verbal and written communication skills.
Decision-making skills, able to contribute to project decisions.
Facilitation skills, able to assist in group discussions and gather feedback.
Basic understanding of Agile, scrum, or other software development methodologies.
Knowledge of program and/or product management disciplines Minimum Qualifications MINIMUM EDUCATION.
Bachelor’s degree or equivalent in Data Science, Operations Research, Engineering, Business Administration, Business Analytics, or related discipline.
[Advanced degree preferred.
MINIMUM EXPERIENCE.
Two (2) years of experience in working with teams in analytics, data science, operations research, engineering or a related field, with demonstrated leadership in managing teams and executing complex projects.
Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a related fields inclusive of prototyping and rapid experimentation.
Preferred Qualifications.
    Pay Transparency.
 This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations.
If this opportunity includes multiple job levels, the range is a reasonable estimate of the current   starting salary for the lowest level to the current starting salary of the highest level.
Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors   permitted by law.
An employee may be eligible for additional pay, premiums, or bonus potential.
The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
 Pay.
 US Pay Range.
$  Additional Details.
 Application Criteria.
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by .
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Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship.
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