Data Scientist

Description

We are looking for the next Data Scientist to join our growing team!

In this role, you will work in a dynamic and fast-paced startup environment! Our customers span a wide range of industries, contributing extraordinary volumes of rich data to our datasets. Your mission will cover the entire lifecycle: from understanding the structure and relationships within the data, conducting exploratory data analysis, and feature engineering, to training machine learning models, deploying them to production, and monitoring their performance.

Who are we?

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.

Responsibilities

• Build, train, and deploy models – Write code and develop infrastructure for automated feature engineering, model training, performance tracking, and inference monitoring, ensuring models are optimized and production-ready.
• Collaborate across teams – Work closely with data scientists, analysts, and engineers to develop and refine solutions that drive impact.
• Help onboard clients – Support clients in integrating models into their workflows and ensure they get the most out of the solutions.
• Mentor and support teammates – Guide data analysts and junior team members by sharing best practices, offering feedback, and helping them grow.
• Drive innovation – Explore new tools, brainstorm ideas, and contribute to improving data science workflows.

Requirements

• B.Sc. / M.Sc in Computer Science/Physics/Mathematics
• 2-4 years of data science experience
• Excellent coding skills and strong knowledge of Python
• Experience with git, pandas, AWS/GCP, SQL, Bash, Scikit-Learn
• Ability to work independently on large projects and get things done
• Excellent hands-on experience, with the ability to identify and resolve problems independently and professionally
• Great oral and written communication skills
• Experience working with marketing data - big advantage