Head of Data Science

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

We are a 4.5 years old 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.

INCRMNTAL innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant—a rare achievement in the marketing field.

Role Description:
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 the academy and 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.
• Hands-on: Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
• Lead, Research, Develop & improve algorithms for automated decision making around causality, and budget planning
• 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)
• Reinforcement learning knowhow
• Excellent development skills (Python required, R or Scala a plus)
• Experience in working on big data with distributed computing (Spark, Argo, 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/ Statistics/ Computer Science/ Physics.

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.
• We are passionate, solution-oriented people who are accountable to our actions.
• At INCRMNTAL, you should be ready to make decisions yourself. We say: “Don’t ask for permission –beg for forgiveness ☺”.
• 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.