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Director Data Science Startup Jobs in Michigan (NOW HIRING)

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

Direct data science assignments, projects, visualization tasks, data quality improvements, and troubleshoot data incidents. * Resolve and document solutions to track and manage incidents, changes ...

Professional data science experience OR a Master's degree in STEM field. Employees must be legally ... Ability to work in a self-directed AND cross-functional team environment. Strong organizational ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

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Director Data Science Startup information

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the most commonly searched types of Data Science Startup jobs in Michigan? The most popular types of Data Science Startup jobs in Michigan are:
What are popular job titles related to Director Data Science Startup jobs in Michigan? For Director Data Science Startup jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Data Science Startup jobs in Michigan look for? The top searched job categories for Director Data Science Startup jobs in Michigan are:
What cities in Michigan are hiring for Director Data Science Startup jobs? Cities in Michigan with the most Director Data Science Startup job openings:
Director, Data Science and Marketing Analytics Innovation

Director, Data Science and Marketing Analytics Innovation

AAA Life Insurance Company

Livonia, MI

Full-time

Posted 18 days ago


Job description

Why AAA Life

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

How You’ll Work

  • Work Solution: Hybrid
  • Relocation Eligibility: Available

What You'll Do

The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge—including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation —to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers.

  • Product Data and Analytics Strategy: Develop and execute data and analytics plans aligned with product and organizational goals.
  • Predictive Modeling: Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
  • Marketing Analytics: Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
  • Cross-functional Collaboration: Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
  • Team Leadership: Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment.
  • Data Infrastructure: Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
  • Experimental Design: Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
  • Performance Reporting: Develop dashboards and reports to monitor product performance and key business metrics.
  • Automation Strategy: Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
  • Innovation and Optimization: Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.

 

Basic Required Qualifications

  • Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
  • Minimum 10 years of experience in data science, analytics, or related field
  • Minimum of 7 years of experience in managing and leading people
  • Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus.
  • Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation.
  • Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology.
  • Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems.
  • Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership.

Preferred Qualifications

  • Previous experience in the life insurance, insurance, or adjacent industry
  • Experience with Generative AI technologies for marketing applications
  • Experience leading cross-functional teams in a matrix organization without direct authority
  • Experience with customer journey and lifetime value analysis

Position Success Criteria

  • Excellent written and verbal communication skills
  • Strong organizational, problem-solving, and analytical skills
  • Versatility, flexibility, and willingness to adapt to changing priorities
  • Ability to exercise independent judgment and demonstrate leadership skills
  • Proven ability to manage multiple projects and meet deadlines
  • Strong interpersonal skills for effective collaboration and stakeholder engagement

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.

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