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Data Science Lead

IDInsight
Nairobi, Kenya

Salary rangeConfidential | Contract type: Permanent

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Job Summary

Professional development for our technical roles is essential for IDinsight’s long-term impact. With support from IDinsight leadership, the employee will maintain a self-directed professional development plans and will be given "stretch" opportunities designed to strengthen their professional skills. Real-time feedback and structured reviews are regularly provided to maximize each data scientist’s expertise. IDinsight’s entrepreneurial culture allows roles and career progression to be tailored to individual strengths, interests, and goals. Employees have the opportunity to increase responsibilities, and high performers will have to opportunity to move up in the organization along technical, managerial, or client-facing paths.
Opportunities to protect a small portion of time for the candidate to work on their own research agenda may be possible.

Responsibilities

The Data Science Lead will have an exciting opportunity to help build IDinsight’s growing data science team and lead highly impactful, ground breaking projects with our partners. We are working to build IDinsight into a global leader in the use of machine learning to solve some of the world’s toughest problems. You will join a growing team of other data scientists and data engineers that will work together with our team of social scientists to best help our clients achieve greater social impact. The day-to-day work will include everything from working with clients to understand their needs and to imagine what’s possible, guiding junior staff in the wrangling of government or client data, leading the design and testing of various algorithms, and working with others to test and deploy these solutions for use by those most in need.
We are seeking candidates who have already spent 6 to 10 years in industry or in applied research and are eager to apply those skills to new problems. Strong candidates will have a strong background in Python, experience leading successful data science teams, and a passion for building solutions to difficult social problems.

Job Requirements

Required education: Bachelor's degree
Required relevant work experience: 5 years
Required languages: English (Spoken: fluent | Written: fluent)
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