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Manager - Data Science

BURN Manufacturing
Full time
Apply by 29 November 2021

Job description

The role involves working in an environment with gigabytes of data from multiple sources and company data warehouses to extract insights that can be beneficial for the Organization. The responsibilities will therefore span across the entire data value chain from locating and assembling data, building datasets for analysis, implementing and interpreting mathematical and statistical procedures that often involve novel, challenging analyses of large datasets, and creating final presentations, reports, and graphics, while working closely with other managers and principal consultants to deliver to all stakeholder expectations including internal customers like commercial, new product development, expansion and externals like investors, funding partners, auditors.

Roles & Responsibilities

  • Data management: work with big data/large data sets, manage and manipulate them through data programming and scripting tools like Python, R, Ms Excel VBA et al.
  • BI reporting; Develop BI reports, dashboards, and data models with the help of BI tools and MS-365 products and present consequent reports to management.
  • Review and validate homegrown data as it’s collected and from various sources, create, discover, and implement new data analysis, visualization, and processing programs.
  • Work closely with all departments that generate and consume homegrown data including after sales, market research, commercial, carbon, expansion and new product development to validate data sources and deliver quality data output that is usable for strategic decision making.
  • Develop data management protocols, working alone or partnering with other programmers and other relevant internal stakeholders, aid in the design, development and implementation of new programs and application for managing big data.
  • Design and implement projects data-needs solutions; review project data needs and recommend designs, implement them and work to continually improve them.
  • Processing, cleaning, and verifying the integrity of data used for analysis and reporting.
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Work closely with data systems suppliers to maintain expected standards of data integrity for all data related projects.
  • Cooperate with IT department to deploy software and hardware upgrades that make it possible to leverage big data.
  • Monitor critical analytics and metrics results and communicate the same effectively and in a timely manner to user departments and any other external stakeholders.
  • Develop policies and procedures/SOP’s for the collection and analysis of data.
  • Data warehouse system: Design and oversee the deployment of data to the data warehouse systems.
  • Machine learning: Spearhead designing, developing, and maintaining machine learning algorithms that would enhance and improve the data handling environment in the organization.

Skills & Qualifications:

  • At least 4 years’ experience in a BI or data science environment
  • Have at least a degree in Applied statistics/ Mathematics/ Actuarial science/ Data science/ Economics & Statistics/ Operations research
  • Experience in machine learning algorithms.
  • Proficiency with at least one programming language for data science e.g. R, Python, SAS, MS Excel etc.
  • Proficiency in database management and query languages e.g., SQL, MySQL as well as data warehouse set up & management.
  • Experience in team leadership, cross-department functioning and reporting/presentation to c-suite and senior management.

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About BURN Manufacturing

Based in Ruiru, Kenya, BURN Manufacturing designs, produces and distributes Kenya’s best-selling, most durable and economical charcoal and wood cookstoves that also dramatically reduce harmful smoke emissions which can cause significant health problems, even death.

Not only do we sell the world’s most fuel-efficient charcoal and wood household stoves, but BURN is also the only jiko company which manufactures all of its products in sub-Saharan Africa’s only state-of-the-art clean cookstove manufacturing facility. We are extremely proud to employ 225 team members throughout Kenya and support a workforce which is 60 percent female, thus empowering women in roles traditionally considered to be “for men only.”

Since 2013, BURN has sold 1,100,000+ stoves in Africa. These stoves have helped 6,222,000 beneficiaries save $362 million in fuel expenditures and 4.6 million tons of wood while reducing indoor air pollution by 65%. BURN currently sells ~25,000 stoves per month and are on track to double sales over the next 12 months by expanding its successful model across Africa. 

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Learn more about BURN Manufacturing and see other open jobs on their career page.

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