Staff Data Scientist - Sparc The World

About the Company: Our client is at the forefront of developing the most advanced marketing intelligence platform for driving growth. Their cutting-edge attribution modeling technology and customizable dashboards offer clients a unified perspective of their e-commerce business data. Renowned brands in the e-commerce sphere rely on our client to accurately attribute their advertising investments, comprehend the entire customer journey, and make data-informed decisions to foster profitable growth.

As our client's team and customer base expand rapidly, it is imperative to recruit adept individuals and establish robust systems to support business scalability. With a firm grasp on product-market fit, our client presents an unparalleled opportunity for skilled analysts to propel their career growth within a fast-evolving environment.

Comprising dedicated and talented professionals, our client fosters a culture centered on collaboration, personal development, and technical prowess. They invite you to be part of their journey. As a remote-first company, they welcome team members from various locations, including San Francisco, Los Angeles, New York, and beyond.

About the Role: In this role, you will:

• Analyze the correlation between clients' marketing inputs and outputs (sales, revenue) while quantifying associated uncertainties.
• Translate complex models and their implications into understandable insights for non-technical stakeholders.
• Collaborate with data engineering and product teams to operationalize solutions for our expanding client base.
• Engage with customers, product managers, engineers, and support teams to conceptualize, develop, and refine high-impact solutions.
• Provide technical support and expertise to clients in relevant domains.

About You:

Requirements:

• Proficiency in Python.
• Strong background in mathematics/statistics, probability, and/or machine learning.
• Familiarity with differentiable programming or probabilistic programming tools (e.g., Tensorflow, Pytorch, JAX, Pyro, PyMC).
• Ability to articulate findings effectively to non-technical audiences in English.
• Experience (or a keen interest) in thriving within a small, dynamic company environment.
• 6+ years of relevant experience.

Good to Have:

• MS or PhD with a research focus on quantitative or statistical methods.
• Previous exposure to marketing data, e-commerce, or ad-tech.
• Familiarity with cloud infrastructure such as Google Cloud Platform, Azure, or AWS.
• Prior involvement in data engineering roles/departments.

Values:

• Growth Mindset: A commitment to continuous learning and development.
• Customer Focus: A dedication to ensuring customer satisfaction with our products.
• Ownership Mentality: A proactive approach in taking ownership of responsibilities.
• Radical Candor: A culture of transparency and constructive feedback.
• Empathic Disposition: Kindness and supportiveness in fostering a collaborative environment.

Benefits:

• Equity package.
• Competitive base salary.
• Comprehensive Healthcare Benefits (medical, dental, vision).
• Opportunities for travel to meet the team.
• Flexible Paid Time Off (PTO) Policy.
• 12 Company Paid Holidays.