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Senior Data Scientist — Clean Cooking (PAYG LPG)

Sun King Sun King Country Senior Data Scientist — Clean Cooking (PAYG LPG) Jobs in Kenya - Apply by 9th October 2026 Type not specified Posted 2026-09-28
CountyNot specifiedCityNot specifiedContractType not specifiedPosted2026-09-28Close date2026-10-09ExperienceNot specifiedSourceAdvance Africa Kenya Jobs
data scientistsenior data scientistclean cookingPAYG LPGmachine learningKenyacommercial analyticschurn predictionexperiment designsenior ICsaleshospitality
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AI summary

Sun King is hiring a Senior Data Scientist to drive commercial impact for its PAYG LPG clean cooking business in Kenya. The role focuses on shipping production data products, building churn and demand models, designing field experiments, and establishing pricing and promotion analytics. This is a senior individual contributor position measured against business outcomes such as activation, refill frequency, churn and ARPU.

  • Senior individual contributor role focused on commercial data science impact
  • Must ship 2–3 production data products within the first 12 months
  • Work spans churn prediction, demand forecasting, credit behaviour and segmentation
  • Includes field time with sales agents and customers across markets
  • Deadline to apply is 9th October 2026

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AI salary guide

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Not enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.

Can you qualify for this role?

  • UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
  • RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
  • PreferredPractical evidence in sales, hospitality, factoryThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.

Documents to prepare

  • Likely requiredUpdated CV
  • Role specificCover letter or short employer message
  • OptionalProfessional references
  • Role specificAcademic or professional certificates
  • VerifyID or passport only after verifying the employer

Application tips for this job

  • Place your strongest Senior Data Scientist — Clean Cooking (PAYG LPG) evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to Sun King and the role in Not specified.
  • Add concrete examples related to sales, hospitality, factory, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from Advance Africa Kenya Jobs; avoid sending documents to unofficial contacts or copied links.
  • Confirm the deadline, interview location and employer contact before sharing personal documents.
  • Plan to submit before the listed deadline: 2026-10-09.

Source and safety check

  • Advance Africa Kenya Jobs
  • Original source link available
  • Application method is clear
  • Deadline is available: 2026-10-09
  • No major risk signal was detected in the captured text.

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Interview preparation

  • What experience makes you a strong fit for this Senior Data Scientist — Clean Cooking (PAYG LPG) role in sales, hospitality?
  • How have you handled responsibilities similar to those in this job post?
  • Are you available to work in Not specified under the listed contract or schedule?
  • Prepare examples with clear responsibilities, tools used and measurable outcomes.
  • Review the source and research Sun King before the interview.

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Original source description

Sun King Country Senior Data Scientist — Clean Cooking (PAYG LPG) Jobs in Kenya

Sun King Country Senior Data Scientist — Clean Cooking (PAYG LPG) Jobs in Kenya

Sun King Country Senior Data Scientist — Clean Cooking (PAYG LPG) Jobs in Kenya;

The Senior Data Scientist’s work will be measured against commercial metrics of the PAYG LPG business, not model metrics alone. Within the first 12 months, the role holder is expected to:

Ship 2–3 data products into production use by commercial or operations teams, each with measurable impact on activation rate, refill frequency, dormancy/churn, ARPU or cost‑to‑serve.

Establish the BU’s approach to pricing and promotion analysis — elasticity estimates, uplift measurement and experiment design that commercial leaders use to make decisions.

Build monitoring for shipped models, with retraining triggers and clear ownership.

Key Responsibilities

  • Commercial
  • Develop first‑hand understanding of customer and commercial needs across markets, including field time with sales agents and customers.
  • Translate business problems into well‑framed statistical questions and present findings clearly to technical and non‑technical stakeholders.
  • Prioritise ruthlessly, focusing on data products that move activation, refill frequency, retention or unit economics.
  • Manage stakeholder expectations, product scope and delivery timelines for assigned workstreams.
  • Technical
  • Design, build and evaluate machine learning models for churn prediction, credit/payment behaviour, demand forecasting, anomaly detection and segmentation.
  • Apply probabilistic and Bayesian methods to quantify uncertainty and support decisions under uncertainty.
  • Design and analyse experiments (A/B tests, geo tests, quasi‑experiments) in field conditions.
  • Perform exploratory analysis, feature engineering and data wrangling on large datasets.
  • Partner with data engineering teams for pipelines and production infrastructure.
  • Track and communicate model performance, identify degradation and recommend retraining.
  • Maintain clean, reproducible, well‑documented code following team standards.
  • Role Clarifications
  • Not a people‑management role — this is a senior IC position.
  • Not an MLOps/platform role — pipeline and deployment infrastructure is owned by MLOps Engineer.
  • Not a reporting/BI role — dashboarding exists in the analytics team; this role
  • builds models and data products.
  • Qualifications & Competencies
  • Education
  • Degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related quantitative discipline. Advanced degree is a plus but not required.
  • Commercial
  • Demonstrable track record of data products that measurably moved business outcomes.
  • Ability to empathise with customers and colleagues, identifying P&L impact before building.
  • Strong communication and storytelling skills.
  • Experience managing upwards on product needs, trade‑offs and timelines.
  • Technical
  • Five (5) to eight (8) years of hands‑on experience in data science or applied ML roles, with at least two (2) years owning data products end‑to‑end.
  • Strong command of classical ML methods and judgment to balance simplicity vs sophistication.
  • Solid grounding in probabilistic modelling, Bayesian inference and uncertainty quantification.
  • High proficiency in Python (scientific stack) and strong SQL skills.
  • Deep familiarity with model evaluation and business‑aligned metrics.
  • Experience with experiment design and hypothesis testing.
  • Comfortable with cloud data warehouses and experiment‑tracking tools (AWS, MLflow).

Preferred Qualifications

  • Experience in PAYG, fintech lending, telco or emerging‑market consumer businesses.
  • Nice to Have
  • Survival modelling, causal inference or marketing mix modelling.
  • Operations research/optimisation exposure (routing, scheduling).
  • Familiarity with MLOps and AWS deployment (SageMaker, Lambda, ECS).
  • How to Apply
  • For more information and job application details, see;
  • Sun King Country Senior Data Scientist — Clean Cooking (PAYG LPG) Jobs in Kenya
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Source and provenanceSource: Advance Africa Kenya Jobs. Last checked: 2026-09-28.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
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