Sunday, 7 January 2018

Duma Works Job Vacancy : Director of Data Science

  • Developing​ ​and​ ​executing​ ​a​ ​cutting-edge​ ​data​ ​science​ ​program​ ​that​ ​impacts​ ​the​ ​lives​ ​of​ ​our​ ​learners,​ ​generates social​ ​and​ ​financial​ ​returns​ ​for​ ​partners,​ ​and​ ​delivers​ ​business​ ​intelligence​ ​to​ ​the​ ​entire​​ ​team;
  • Running​ ​analysis​ ​between​ ​the​ ​company’s ​database​ ​and​ ​the​ ​databases​ ​of​ ​our​ ​multinational​ ​partners​ ​(banks,​ ​MNOs, agribusinesses,​ ​research​ ​consortiums,​ ​etc.)​ ​to​ ​identify​ ​correlations​ ​that​ ​will​ ​translate​ ​into​ ​major​ ​product innovations​ ​in​ ​both​ ​predictive​ ​and​ ​prescriptive​ ​analytics;
  • Developing​ ​and​ ​sourcing​ ​solutions​ ​to​ ​integrate​ ​with​ ​the​ ​company ​platform​ ​that​ ​will​ ​process​ ​unstructured​ ​text received​ ​from​ ​learners​ ​in​ ​order​ ​for​ ​our​ ​system​ ​to​ ​better​ ​respond​ ​to​ ​their​ ​questions,​ ​direct​ ​learners​ ​to​ ​relevant content,​ ​and​ ​infer​ ​user​ ​traits;
  • Designing​ ​strategies​ ​for​ ​accessing​ ​and​ ​generating​ ​training​ ​data​ ​sets,​ ​improving​ ​data​ ​privacy​ ​and​ ​security,​ ​and automating​ ​computation;
  • Mining​ ​the​ ​millions​ ​of​ ​interactions​ ​in​ ​our​ ​system​ ​to​ ​uncover​ ​new​ ​opportunities​ ​for​ ​product​ ​development;
  • Attracting,​ ​structuring,​ ​and​ ​coaching​ ​a​ ​team​ ​of​ ​data​ ​scientists​ ​and​ ​analysts;
  • Publishing​ ​white​ ​papers​ ​on​ ​the​ ​technical​ ​innovations​ ​behind​ ​our​ ​impact;
  • Contributing​ ​thought​ ​leadership​ ​with​ ​industry​ ​executives​ ​at​ ​the​ ​multinational​ ​organizations​ ​partners​ ​with;
  • Participating​ ​in​ ​community​ ​events,​ ​trade​ ​meetups,​ ​and​ ​industry​ ​workshops​ ​in​ ​Nairobi​ ​and​ ​globally.

Qualifications for the Director of Data Science

  • 8+​ ​years​ ​of​ ​professional​ ​experience​ ​in​ ​data​ ​science,​ ​statistics,​ ​or​ ​mathematics​ ​with​ ​at​ ​least​ ​3​ ​years​ ​in​ ​a management​ ​capacity;
  • Master’s​ ​degree​ ​preferred​ ​but​ ​not​ ​required;
  • Advanced​ ​technical​ ​knowledge​ ​of​ ​R;
  • Practical​ ​experience​ ​developing​ ​algorithms​ ​through​ ​ML​ ​and​ ​non-ML​ ​techniques​ ​to​ ​develop​ ​analytical​ ​products;
  • Experience​ ​with​ ​classification,​ ​cluster​ ​analysis,​ ​data​ ​mining,​ ​database​ ​architecture,​ ​and​ ​visualization.
  • Experience​ ​leading​ ​and​ ​training​ ​high​ ​performing​ ​technical​ ​teams;
  • Ability​ ​to​ ​live​ ​and​ ​work​ ​in​ ​Nairobi​ ​full​ ​time;

Compensation​ ​and​ ​Benefits:

We​ ​aspire​ ​to​ ​be​ ​competitive​ ​on​ ​compensation​ ​although,​ ​as​ ​an​ ​early-stage​ ​social​ ​enterprise,​ ​many​ ​on​ ​the​ ​team​ ​work​ ​just below​ ​market​ ​rate.​ ​

To​ ​make​ ​up​ ​for​ ​that,​ ​staff​ ​are​ ​able​ ​to​ ​participate​ ​in​ ​the​ ​company’s ​employee​ ​share​ ​program.​ ​We​ ​also​ ​offer a​ ​comprehensive​ ​health​ ​insurance​ ​package​ ​and​ ​will​ ​cover​ ​the​ ​cost​ ​of​ ​a​ ​work​ ​permit​ ​for​ ​foreign​ ​staff.​ ​Other​ ​benefits include​ ​monthly​ ​airtime​ ​allowance,​ ​extra​ ​leave,​ ​a​ ​stocked​ ​kitchen,​ ​and​ ​plenty​ ​of​ ​ping-pong​ ​and​ ​foosball.

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