We are looking for a Data Scientist to join our Corporate Development department.
Responsibilities:
Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques.
Conducting slice and dice analysis, uncovering data gems and insights through the mix of markets, enterprises, platforms and funnels.
Conduct predictive modeling, utilizing advanced algorithms and techniques, to identify trends, forecast business outcomes, and optimize strategic initiatives.
Communicate complex findings effectively through visually appealing data visualizations, charts, and graphs.
Support product development decisions and optimization, leveraging advanced data science methodologies to inform and enhance business offerings for B2B customers.
Responsibilities:
Be responsible for gathering, analyzing, and modeling data from multiple sources, with a focus on deep analysis of B2B activity and utilizing advanced data science techniques.
Conducting slice and dice analysis, uncovering data gems and insights through the mix of markets, enterprises, platforms and funnels.
Conduct predictive modeling, utilizing advanced algorithms and techniques, to identify trends, forecast business outcomes, and optimize strategic initiatives.
Communicate complex findings effectively through visually appealing data visualizations, charts, and graphs.
Support product development decisions and optimization, leveraging advanced data science methodologies to inform and enhance business offerings for B2B customers.
Requirements:
At least 4+ years experience in B2C companies
B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
Strong SQL skills with experience in querying large complex data sets -must have.
Experience in working on large-scale ML-based projects, preferably with multiple data scientists
Experience with Qlik, Couchbase, BigQuery a big plus
Experience with tools like Matlab/SAS/SPSS/R/Python Advantage
Experience in implementing real-time machine learning and data mining algorithms in large scale environments a big plus
Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
Experienced in building predictive models and conducting comparison analysis between complex segments of data.
Strong business orientation, curious and passionate about business models and profitability analysis.
Proven impact on business results based on data insights, prediction and modeling
Excellent communication and presentation skills.
At least 4+ years experience in B2C companies
B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
Strong SQL skills with experience in querying large complex data sets -must have.
Experience in working on large-scale ML-based projects, preferably with multiple data scientists
Experience with Qlik, Couchbase, BigQuery a big plus
Experience with tools like Matlab/SAS/SPSS/R/Python Advantage
Experience in implementing real-time machine learning and data mining algorithms in large scale environments a big plus
Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
Experienced in building predictive models and conducting comparison analysis between complex segments of data.
Strong business orientation, curious and passionate about business models and profitability analysis.
Proven impact on business results based on data insights, prediction and modeling
Excellent communication and presentation skills.
This position is open to all candidates.
