VP Of Data Science
Remote, USA
Applications have closed
Madison Logic, Inc.
Want to convert leads into opportunities and opportunities into revenue? Learn more about Madison Logic's powerful account-based marketing platform.Our team is reshaping B2B marketing and having fun in the process! As a truly global company, we take pride in the diverse backgrounds of our team. When joining Madison Logic, you are committing to giving 100% and always striving for more. Work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!
Remote work note: Please refer to the job posting detail to determine what (if any) remote work options apply to the specific job advertised. Not all positions are available for remote work or in all regions/countries. Where applicable, remote work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. It requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.
About the RoleThe VP of Data Science serves as a key member of the leadership team and will be responsible for leading Madison Logic’s data strategy, tying technology to business goals, and leading the company through significant growth as a market leader and innovator in ABM. The VP of Data Science will be responsible for analyzing and deriving insights from data to inform business strategy and value. They will define the company’s strategy, lead R&D, design data collection, management and governance methodologies across the organization and drive enterprise-wide governance and utilization of information as an asset. This leader will work closely with the Chief Product and Technology Officer (CPTO) to develop a comprehensive and pragmatic enterprise data roadmap focused on building the foundational data capabilities required to solve business data needs.
What You'll Do:
- Lead, grow, and retain an expanded team of data scientists, data engineers and analysts as part of the broader technology organization
- Partner with leadership and product management in developing a roadmap for new data product offerings
- Present data strategy and key findings to executives and other departments
- Work directly with the CTO in continuously improving the company’s strategy
- Work with multiple business stakeholders and cross-functional teams to design, develop, and execute advanced statistical and non-statistical solutions
- Advocate new data sources, tools and design paradigms
- Enforce advanced data governance, security, lineage, and engineering practices
- Collaborate with engineering groups on data and machine learning systems for intelligent automation and data enrichment capabilities
- Partner with architects and development teams to ensure the continued availability of the data necessary for modeling purposes
- Keep pace with the latest developments in academia, regulatory environment, risk modeling methods, and the commercial insurance industry in order to provide expert guidance to the business functions
About You | Basic Qualifications
- Bachelor's Degree in computer science, mathematics, or a related technical discipline; advanced degrees strongly preferred
- 12+ years of experience with 3+ years of experience directly leading and managing medium sized teams, and other managers
- Preferably 3+ years of experience in the Adtech/Martech industry
- Experience using machine learning and AI methods in production, ideally as part of a commercial service offering
- Expert knowledge of programming languages such as Python, R, and SQL
- Experience with common data science and machine learning frameworks such as PyTorch, SpaCy, Scikit Learn, Keras, and TensorFlow
- Strong analytical and quantitative skill set
- Advanced ability to perform exploratory data analysis and to communicate or visualize complex data in a simple, actionable way
- Familiarity with business intelligence tools such as Tableau, Domo etc.
- Experience with big data and data management technologies
- Excellent attention to detail
- Strong communications, and technical writing skills
About You | Additional Characteristics
- Strong analytical and quantitative skills
- Advanced ability to perform exploratory data analysis and to communicate or visualize complex data in a simple, actionable way
- Excellent attention to detail & organizational skills
- Strong verbal communication and technical writing skills
Benefits & Perks
- Opportunities for Advancement – As We Grow, You Grow!
- Competitive Benefits including Medical, Dental, Vision, and FSA plans
- Employer-paid Life, AD&D and STD insurance
- 401k with Company Match
- Generous Paid Time Off including: 17 Vacation Days (to start!), Sick Time, Floating Holidays and Parental Leave
- 2 Paid Volunteer Days
- "You-Do-You" Monthly Cash Stipend
- Work from Home Stipend
- Legal & Financial Services Benefits
- Wellness initiatives
- An innovative, energetic culture and a fantastic team!
Expected Salary (Dependent Upon Experience & Location):Base Salary Range: $200,000-$230,000Additional Compensation: $40,000
Pay Transparency/Equity:We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner. We will provide more information about our perks & benefits upon request.
Who We Are:
Our Vision: We empower B2B organizations globally to convert their best accounts faster
Our Values: #TEAM #OWNIT #RESPECT #EXCEL #EMPOWER
Our Commitment to Diversity & Inclusion:Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
Privacy Disclosure:All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.
For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/).
Tags: Big Data Business Intelligence Computer Science Data analysis Data governance Data management Data strategy EDA Engineering Excel Keras Machine Learning Mathematics Privacy Python PyTorch R R&D Scikit-learn Security spaCy SQL Statistics Tableau TensorFlow
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Startup environment Wellness
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