Head of Data Science

INCRMNTAL is searching for the best Head of Data Science out there!

We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE.

Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922)

We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?”

INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we’re doing.

We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. 

Job Summary:

The Head of Data Science will be responsible for shaping and executing the company’s data science strategy. This role requires a combination of technical expertise, leadership skills, and business acumen. The ideal candidate will lead a team of data scientists and collaborate with cross-functional teams to solve complex business problems, drive innovation, and create actionable insights from data.

Role Description:

As the Head of Data Science your role will be to:

• Lead the Data Science team and the whole Data Science activities of the company providing guidance, mentorship, and support.
• Oversee the planning, execution, and delivery of data science projects.
• Prioritize and allocate resources to ensure timely and successful project completion.
• Report to the Co-Founder & CTO and collaborate with different head of departments (Product, Business operations, sales etc.) to leverage data insights for strategic decision-making.
• Develop and implement data strategies that align with the company's goals. 
• Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
• Lead, Develop & improve algorithms for automated decision making around causality, and budget planning
• Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes.
• Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights

Key Requirements:

• Proven experience in a senior data science management role.
• Min. 8 years of work experience in a Data Science role – experience in SaaS, B2B and/or data-heavy products would be ideal
• Excellent leadership, communication, and project management skills.
• Ability to work collaboratively with cross-functional teams and influence decision-making.
• Strong problem-solving skills and a results-oriented mindset.
• Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal
• Inference, Prediction models, Bayesian Method)
• Excellent development skills (Python required, R or Scala a plus)
• Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
• Familiarity with digital marketing, advertising or analytics is a plus
• Extensive experience in the Time Series domain, working with small and large time series frames
• MS.c or PHD in Mathematics/ Computer Science/ Statistics/ Physics.
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Benefits of Joining INCRMNTAL:

• We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success.
• You will be granted share options as an early employee.
• We are passionate, solution-oriented people who are accountable to our actions.
• We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us.

We are accepting applications regardless of any external factors. Everyone is welcome to apply.