Our company is growing and we are searching for an experienced Data Scientist to join us!
If you are a highly skilled Data Scientist experienced in solving complex business problems using ML and data driven techniques, with a proven track record in owning DS project from planning to production, a strong knowledge of a wide range of relevant SOTA algorithms and technologies in the field, and someone who thrives in a cross-functional, fast-paced environment – continue reading 🙂
What will you be doing?
As a Senior Data Scientist at our company, you will be a pivotal member of the data science team, taking ownership of executing an E2E challenging data science projects in various areas of our product.
Additionally, as a Senior Data Scientist, you will strengthen our methodologies, infrastructure and algorithmic approaches.
You will:
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 some real world data science impacting directly and significantly on our core product and user experience.
Work closely with our big data engineers to build the needed infrastructure and push solutions successfully to production.
Define success criteria for each goal, build and own the monitoring flow and maintenance plan for each solution.
Continuously self learn, grow professionally and mentor younger team members on new technologies.
If you are a highly skilled Data Scientist experienced in solving complex business problems using ML and data driven techniques, with a proven track record in owning DS project from planning to production, a strong knowledge of a wide range of relevant SOTA algorithms and technologies in the field, and someone who thrives in a cross-functional, fast-paced environment – continue reading 🙂
What will you be doing?
As a Senior Data Scientist at our company, you will be a pivotal member of the data science team, taking ownership of executing an E2E challenging data science projects in various areas of our product.
Additionally, as a Senior Data Scientist, you will strengthen our methodologies, infrastructure and algorithmic approaches.
You will:
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 some real world data science impacting directly and significantly on our core product and user experience.
Work closely with our big data engineers to build the needed infrastructure and push solutions successfully to production.
Define success criteria for each goal, build and own the monitoring flow and maintenance plan for each solution.
Continuously self learn, grow professionally and mentor younger team members on new technologies.
Requirements:
You are:
A team player. You will collaborate across the data team and with other teams as well.
Autodidact, likes a challenge, motivated.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment and are able to operate at the strategic level and the micro-detail to get things right
Independent. You pick things up quickly and are able to execute independently from ideation to implementation.
Results-driven. You have a can-do approach, drive to exceed your goals.
Data-oriented. You like analyzing and working with data.
Business-oriented. You are interested in our business, products and services and know how to translate business needs into ML solutions.
Organized. You are able to manage highly interdependent, multifaceted projects and keep various work streams on track – even those with many moving parts.
Story Teller. You love and are confident in presenting your results and ideas in a clear and concise way.
Resilient in Ambiguity. You thrive in fluid situations, discerning and shaping the path forward when things aren't clearly defined.
Requirements:
5+ years of experience as an industry data scientist.
Experience in DL/ML for text analysis\NLP.
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.
Experiencing working with Big Data processing tools (Spark) – an advantage.
Familiarity with Databricks ecosystem – nice to have.
You are:
A team player. You will collaborate across the data team and with other teams as well.
Autodidact, likes a challenge, motivated.
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment and are able to operate at the strategic level and the micro-detail to get things right
Independent. You pick things up quickly and are able to execute independently from ideation to implementation.
Results-driven. You have a can-do approach, drive to exceed your goals.
Data-oriented. You like analyzing and working with data.
Business-oriented. You are interested in our business, products and services and know how to translate business needs into ML solutions.
Organized. You are able to manage highly interdependent, multifaceted projects and keep various work streams on track – even those with many moving parts.
Story Teller. You love and are confident in presenting your results and ideas in a clear and concise way.
Resilient in Ambiguity. You thrive in fluid situations, discerning and shaping the path forward when things aren't clearly defined.
Requirements:
5+ years of experience as an industry data scientist.
Experience in DL/ML for text analysis\NLP.
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.
Experiencing working with Big Data processing tools (Spark) – an advantage.
Familiarity with Databricks ecosystem – nice to have.
This position is open to all candidates.
