Were looking for a Senior Data Scientist to be a pivotal member of the data science team, taking ownership of executing an E2E challenging data science project in various areas of our product. Additionally, as a Senior Data Scientist, you will strengthen our methodologies, infrastructure, and algorithmic approaches.
How youll shape the future of B2B sales:
solve complex business problems using ML and data-driven techniques using a wide range of both classic and relevant SOTA algorithms and technologies.
Work against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Dirt your hands with our endless stream of data, doing real-world data science impacting directly and significantly on our core product and user experience.
Define success criteria for each goal, and build and own the monitoring flow and maintenance plan for each solution.
Work closely with our data engineers to build the needed infrastructure and push solutions successfully to production.
Continuously self-learn, grow professionally, and mentor younger team members.
How youll shape the future of B2B sales:
solve complex business problems using ML and data-driven techniques using a wide range of both classic and relevant SOTA algorithms and technologies.
Work against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Dirt your hands with our endless stream of data, doing real-world data science impacting directly and significantly on our core product and user experience.
Define success criteria for each goal, and build and own the monitoring flow and maintenance plan for each solution.
Work closely with our data engineers to build the needed infrastructure and push solutions successfully to production.
Continuously self-learn, grow professionally, and mentor younger team members.
Requirements:
5+ years of experience as an industry data scientist.
MSc/PhD/equivalent in a relevant field.
Proficient in the basic data science Python toolbox (Pandas, Scipy, Numpy, Scikit-learn).
Proven record of successfully executing E2E data science projects.
Well-acquainted with both classical ML and DL models over a wide range of problems.
Proven record in presenting your ideas to both colleagues and customers.
Experience in DL/ML for text analysis\NLP – a significant advantage.
Experiencing working with Big Data processing tools (Spark) – an advantage.
Familiarity with Databricks ecosystem – nice to have.
5+ years of experience as an industry data scientist.
MSc/PhD/equivalent in a relevant field.
Proficient in the basic data science Python toolbox (Pandas, Scipy, Numpy, Scikit-learn).
Proven record of successfully executing E2E data science projects.
Well-acquainted with both classical ML and DL models over a wide range of problems.
Proven record in presenting your ideas to both colleagues and customers.
Experience in DL/ML for text analysis\NLP – a significant advantage.
Experiencing working with Big Data processing tools (Spark) – an advantage.
Familiarity with Databricks ecosystem – nice to have.
This position is open to all candidates.
