GROUP DATA SCIENTIS at d.light design
Nairobi, KE

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with  insights  gained  from  analyzing  company  and  external  data.  The  ideal  candidate will  be adept  at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data  analysis  methods,  using  a  variety  of  data  tools,  building  and  implementing  models, using/creating algorithms and creating/running simulations. They must be broad minded with a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets collected within and without the company and not limited in nature or source7

R&Rs

•Work  with  stakeholders  throughout  the  organization  to  identify  opportunities  for  leveraging  company data to drive business solutions.
•Identity, recruit and lead a team of highly skilled data engineers and analysts with a global mandate
•Mine  and  analyze  data  from  company  databases  to  drive  optimization  and  improvement  of  product development, marketing techniques and business strategies.
•Assess the effectiveness and accuracy of new data sources and data gathering techniques.
•Develop custom data models and algorithms to apply to data sets.
•Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
•Develop d.lighttesting framework and test model quality.
•Coordinate with different functional and OpCo teams to implement models and monitor outcomes.
•Develop processes and tools to monitor and analyze model performance and data accuracy.

Desired Qualifications and Experience

•Strong problem solving skills with an emphasis on product development.
•5 or more years’ Experience with Oracle Analytics or related tools
•Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
•Experience working with and creating data architectures.
•Knowledge  of  a variety  of  machine  learning  techniques  (clustering,  decision  tree  learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
•Knowledge   of   advanced   statistical   techniques   and   concepts   (regression,   properties   of distributions, statistical tests and proper usage, etc.) and experience with applications.
•Excellent written and verbal communication skills for coordinating across teams.
•A drive to learn and master new technologies and techniques.
•5-7 years of experience manipulating datasets and building statistical models,
•University degreein Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    oCoding knowledge and experience with several languages: C, C++, Java,
    oJavaScript, etc.
    oKnowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    oExperience  creating  and  using  advanced  machine  learning  algorithms  and  statistics: regression,  simulation,  scenario  analysis,  modeling,  clustering,  decision  trees,  neural networks, etc.
    oExperience  analyzing  data  from  3rd  party  providers:  Google  Analytics,  Site  Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Behavioral Competencies

    oSelf-starter (ability to work independently) with good prioritization skills
    oBusiness   driven,   people   focused,   with   exceptional   influencing   skills;   excellent organizational,  project  management,  multi-tasking,  presentation  and  time-management skills
    oHighly detail oriented
    oPassion for social enterprise and people development