Director of Data Science

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's, master's, or PhD in a quantitative field such as Computer Science, Statistics, or Engineering., 8+ years of professional experience in data science or machine learning, or 6+ years with a master's, or 4+ years with a PhD., Proven leadership experience managing data science teams in fast-paced environments., Expertise in statistical modeling, machine learning techniques, and proficiency in Python and SQL..

Key responsibilities:

  • Lead and mentor a team of data scientists to foster innovation and collaboration.
  • Oversee the development, validation, and deployment of machine learning models in cloud environments.
  • Partner with cross-functional teams to identify opportunities and deliver impactful data science solutions.
  • Ensure model monitoring, governance, and clear communication of insights to leadership.

Worth AI logo
Worth AI Financial Services Small startup https://worthai.com/
2 - 10 Employees
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Job description

Worth is seeking an experienced and visionary Director of Data Science to lead the development and deployment of machine learning and statistical modeling solutions that drive business impact across our organization. This individual will guide a team of data scientists and partner with crossfunctional stakeholders to build scalable, productiongrade models for both analytical and product applications.

The ideal candidate brings a strong foundation in predictive modeling, statistical analysis, and machine learning, with proven leadership experience in building data science teams and influencing strategic decisions. Expertise in areas such as NLP, computer vision, or reinforcement learning is highly desirable. This role requires exceptional communication skills and the ability to distill complex insights into clear, actionable recommendations for executive audiences.

Responsibilities
  • Lead, mentor, and scale a highperforming team of data scientists while fostering a culture of innovation, collaboration, and continuous learning.
  • Oversee the endtoend development of machine learning models—design, training, validation, and deployment—within cloudbased production environments.
  • Partner with product, engineering, and business teams to identify opportunities for data science solutions, define success metrics, and deliver measurable impact.
  • Drive the integration of largescale data systems and pipelines to power intelligent, adaptive models that reflect changing customer, market, and business dynamics.
  • Ensure rigorous model monitoring, governance, and retraining protocols to maintain accuracy, fairness, and compliance.
  • Communicate technical results and strategic insights clearly and persuasively to senior leadership and nontechnical stakeholders.
  • Champion the adoption of advanced analytics tools, frameworks, and best practices across the company.
    • Requirements

      • Bachelor’s degree and 8+ years of professional experience, or Master’s degree and 6+ years, or PhD and 4+ years, in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or Engineering.
      • Proven leadership experience managing data science or machine learning teams in fastpaced, agile environments.
      • Deep expertise in statistical modeling and machine learning techniques (e.g., regression, time series, clustering, ensemble methods, simulation, NLP, deep learning, etc.).
      • Handson proficiency in Python and SQL; familiarity with R or other languages is a plus.
      • Practical experience with ML libraries and frameworks such as Scikitlearn, TensorFlow, Keras, PyTorch, Statsmodels, NumPy, and SciPy.
        Strong understanding of data architecture and MLOps practices in cloud environments such as AWS, Azure, or GCP.
      • Excellent data storytelling and executive communication skills; confident in building and delivering compelling visual presentations (e.g., Tableau, PowerBI).
      • Deep understanding of Agile methodologies such as Scrum or Kanban.

        • Benefits

            • Health Care Plan (Medical, Dental & Vision)
            • Retirement Plan (401k, IRA)
            • Life Insurance
            • Unlimited Paid Time Off
            • 9 paid Holidays
            • Family Leave
            • Work From Home
            • Free Food & Snacks (Access to Industrious Coworking Membership!)
            • Wellness Resources

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Team Leadership
  • Collaboration
  • Communication
  • Problem Solving

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