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About the Role

The Director, Data is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to create and maintain advanced data-driven solutions for Inmar Intelligence. This role provides thought leadership on strategic plans for new products and solutions, and manages the Data Science team.

Responsibilities

• Demonstrate excellent understanding and competence in data science, machine learning, artificial intelligence, software engineering, statistical analysis, and the scientific method.
• Collaborate with senior leadership to identify prospective data science solutions aligned with Inmar goals.
• Work with business units and product development teams in creating data science solutions.
• Collaborate with application engineering to build robust and secure solutions that integrate with production products.
• Demonstrate superior communication skills with internal technical and non-technical stakeholders and team members, as well as external stakeholders.
• Keep skills and knowledge up to date.
• Demonstrate innovation and continuous improvement.
• Maintain professionalism with a focus on customer satisfaction and product quality.
• Expand awareness and understanding of Data Science to peers and senior leadership.
• Manage team dynamics and organizational culture to ensure team effectiveness.
• Provide coaching and mentoring to team members.
• Work with minimal supervision and assume leadership responsibilities on multiple, concurrent projects.
• Perform other duties as assigned.
• Comply with all policies and standards.

Requirements

• Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus required.
• Masters in quantitative and experimentation focused field preferred.
• Doctorate in quantitative and experimentation focused field preferred.
• 10+ years related work experience in machine learning, data visualization, and other data science techniques.
• At least 4 years managing others.
• Strong experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms.
• Strong experience in databases (data processing extraction, cleansing and transformation).
• Highly proficient with presentation software: Microsoft Office & Google Suites.
• Ability to give presentations to technical and non-technical audiences.
• Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Skills

• Data exploration
• Data visualization
• Machine learning
• Artificial intelligence
• Data science techniques
• Software engineering
• Statistical analysis
• Scientific method
• Collaboration
• Communication
• Coaching
• Mentoring
• Software development
• Database management
• Presentation software

Location

• Remote

Work Type

• Full-time

Experience Level

• 10+ years related work experience
• 4+ years managing others

Education Level

• Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus
• Masters in quantitative and experimentation focused field
• Doctorate in quantitative and experimentation focused field

Salary/Compensations

• 162,081.00 - 270,135.00 USD Annual

Benefits

• Medical, Dental, and Vision insurance
• Basic and Supplemental Life Insurance options
• 401(k) retirement plans with company match
• Health Spending Accounts (HSA/FSA)
• Flexible time off
• 11 paid holidays
• Family-building benefits, including Maternity, Adoption, and Parental Leave
• Tuition Reimbursement and certification support
• Wellness and Mental Health counseling services
• Concierge and work/life support resources
• Adoption Assistance Reimbursement
• Perks and discount programs

About the Company

• HELP US MAKE BUSINESSES SMARTER TO IMPROVE CONSUMERS’ LIVES. Through curiosity and the intelligent use of data and technology, we uncover valuable insights that make it easier for businesses to understand, predict and meet the personalized needs of consumers — so they can live their lives to the fullest.

Equal Opportunity

• We are an Equal Opportunity Employer, including disability/vets.
• If you need accommodations completing the job application, please contact at recruiting@inmar.com or call 336.631.2500.
• Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.
• This position is not eligible for student visa sponsorship, including F-1 OPT or CPT.