A global leader in performance marketing, is looking for a talented Data Scientist to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
End-to-end project ownership with advanced modeling: Take ownership of projects from ideation and design to deployment, leveraging advanced machine learning and deep learning techniques to develop innovative solutions that address complex business challenges.
Data exploration and preprocessing: Gather, clean, and preprocess large-scale datasets from diverse sources, ensuring data quality and readiness for modeling.
Develop scalable production-ready code: Develop for both real-time and batch modeling pipelines, collaborating with data and engineering teams for seamless integration.
Innovation and research: Stay ahead of industry trends by exploring and applying cutting-edge advancements in data science, machine learning, and AI to solve emerging challenges.
Data visualization and insight communication: Transform complex analytical results into actionable insights through clear visualizations and articulate presentations for diverse audiences, including technical and non-technical stakeholders.
Collaboration across teams: Work closely with cross-functional teamsproduct managers, engineers, and business leadersto identify opportunities, prioritize initiatives, and deliver impactful results.
What You'll Do
Responsibilities
End-to-end project ownership with advanced modeling: Take ownership of projects from ideation and design to deployment, leveraging advanced machine learning and deep learning techniques to develop innovative solutions that address complex business challenges.
Data exploration and preprocessing: Gather, clean, and preprocess large-scale datasets from diverse sources, ensuring data quality and readiness for modeling.
Develop scalable production-ready code: Develop for both real-time and batch modeling pipelines, collaborating with data and engineering teams for seamless integration.
Innovation and research: Stay ahead of industry trends by exploring and applying cutting-edge advancements in data science, machine learning, and AI to solve emerging challenges.
Data visualization and insight communication: Transform complex analytical results into actionable insights through clear visualizations and articulate presentations for diverse audiences, including technical and non-technical stakeholders.
Collaboration across teams: Work closely with cross-functional teamsproduct managers, engineers, and business leadersto identify opportunities, prioritize initiatives, and deliver impactful results.
Requirements:
BSc in a quantitative field (math, statistics, computer science. etc.)
3+ years of experience in a role developing predictive or explanatory models or experimentation processes with real-world data
Deep statistical & mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the art machine learning algorithms and statistical modeling
Strong background in Python with experience in Data & ML packages and OOP
Experience writing SQL queries
Developing production systems – an advantage
Experience with AWS ecosystems – an advantage
Master's degree or PhD in Computer Science or related technical field – an advantage.
BSc in a quantitative field (math, statistics, computer science. etc.)
3+ years of experience in a role developing predictive or explanatory models or experimentation processes with real-world data
Deep statistical & mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the art machine learning algorithms and statistical modeling
Strong background in Python with experience in Data & ML packages and OOP
Experience writing SQL queries
Developing production systems – an advantage
Experience with AWS ecosystems – an advantage
Master's degree or PhD in Computer Science or related technical field – an advantage.
This position is open to all candidates.
