Lead Data Scientist - remote

Hire Resolve

Location
Remote (South Africa) · Cape Town, Western Cape
Contract
Permanent
Minimum qualification
Bachelor's degree
Closing date

First listed . Last checked at source .

In brief

**Overview** This role is for a Lead Data Scientist at a company that operates a privacy-preserving data collaboration platform, enabling companies to share consumer insights without exposing or trading actual customer data. The Lead Data Scientist will function as the second-in-command to the Head of Data Science, combining senior technical leadership responsibilities with hands-on delivery. **What you will do** * Act as deputy to the Head of Data Science; mentor team members, support delivery management, and potentially lead an Agile delivery squad. * Own and prioritize the analytical roadmap, establishing reusable assets and a coherent customer analytics journey. * Translate ambiguous business needs into decision-ready insights; present findings to senior stakeholders and defend evidence-based conclusions. * Write maintainable, testable, production-grade Python using modern engineering best practices. * Apply best practices around data grain, provenance, reconciliation, and traceability across Delta Lake and Synapse environments. * Leverage Claude Code and agentic AI workflows across prototyping, coding, testing, and documentation. * Derive accurate insights from matched, aggregated, or imperfect datasets using weighted binning, dependency measures, and strict validation controls. **Requirements (from the original advert)** * **Experience:** 7+ years in Data Science/Analytics/Data Warehousing (with substantial recent DS experience) + 2+ years in technical/engineering leadership. * **Education:** Bachelor’s degree in a STEM discipline (or equivalent experience). * **Machine Learning & AI:** Senior-level expertise designing, deploying, monitoring, and retraining production ML/AI models. * **Core Python Stack:** Advanced Python, Jupyter, pandas, NumPy, scikit-learn. * **Data Engineering & Lakehouse:** Delta Lake (or similar), PySpark, feature stores, data versioning, Azure Synapse, T-SQL/ANSI SQL. * **Analytics & BI:** Power BI and Python visualization tools. * **Communication:** Excellent written and verbal English with strong stakeholder management skills. * **Desirable Experience:** * PySpark & distributed data processing * FastAPI & Kubernetes-based model serving * Automated testing with PyTest * Apache Ranger or data governance frameworks * C#.NET, Angular, or Electron development **Who should apply** A highly experienced Data Scientist with substantial recent Data Science experience, combined with significant technical or engineering leadership expertise. The ideal candidate will be capable of taking on a senior technical leadership role while remaining hands-on in delivery. They should possess senior-level expertise in designing, deploying, monitoring, and retraining production ML/AI models, alongside advanced skills in the core Python data stack, data engineering, lakehouse architectures, and business intelligence tools. Excellent written and verbal English communication, coupled with strong stakeholder management abilities, are also essential. **Deadline** Not specified **Reference** Original posting: https://www.jobmail.co.za/jobs/it-computer/other-it-computer/cape-town/lead-data-scientist-remote-id-7580214 Source: jobmail

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

    • Python
    • Angular
    • C#
    • .NET
    • SQL
    • Azure
    • Kubernetes
    • Power BI
    • Agile / Scrum

    Extracted automatically from the advert; confirm requirements on the original listing.

    Job description

    A company that operates a privacy-preserving data collaboration platform that lets different companies share consumer insights without ever exposing or trading actual customer data is seeking a Lead Data Scientist who will be second-in-command to the Head of Data Science, combining senior technical leadership with hands-on delivery. Responsibilities: * Technical Leadership: Act as deputy to the Head of Data Science; mentor team members, support delivery management, and potentially lead an Agile delivery squad. * Roadmap & Strategy: Own and prioritize the analytical roadmap, establishing reusable assets and a coherent customer analytics journey. * End-to-End Analytics: Translate ambiguous business needs into decision-ready insights; present findings to senior stakeholders and defend evidence-based conclusions. * Production Engineering: Write maintainable, testable, production-grade Python using modern engineering best practices. * Data Lakehouse Architecture: Apply best practices around data grain, provenance, reconciliation, and traceability across Delta Lake and Synapse environments. * AI-Augmented Workflows: Leverage Claude Code and agentic AI workflows across prototyping, coding, testing, and documentation. * Multi-Party Analytics: Derive accurate insights from matched, aggregated, or imperfect datasets using weighted binning, dependency measures, and strict validation controls. Minimum Requirements: * Experience: 7+ years in Data Science/Analytics/Data Warehousing (with substantial recent DS experience) + 2+ years in technical/engineering leadership. * Education: Bachelor’s degree in a STEM discipline (or equivalent experience). * Machine Learning & AI: Senior-level expertise designing, deploying, monitoring, and retraining production ML/AI models. * Core Python Stack: Advanced Python, Jupyter, pandas, NumPy, scikit-learn. * Data Engineering & Lakehouse: Delta Lake (or similar), PySpark, feature stores, data versioning, Azure Synapse, T-SQL/ANSI SQL. * Analytics & BI: Power BI and Python visualization tools. * Communication: Excellent written and verbal English with strong stakeholder management skills. * Desirable Experience + PySpark & distributed data processing + FastAPI & Kubernetes-based model serving + Automated testing with PyTest + Apache Ranger or data governance frameworks + C#.NET, Angular, or Electron development Benefits: Competitive salary based on experience (salary can potentially be more based on experience/skills) IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to Hire Resolve IT/Computer Recruiter About Specialists in Civil, Structural, Mechanical Engineering, Information Technology, Mining, Manufacturing and Finance Careers! Hire Resolve is one of the larger and more agile South African recruitment companies that focus on placing professionals and skilled people in permanent employment and contract employment. We prefer and focus on working with top quality professionals and candidates in South Africa and Africa. Hire Resolve has successfully placed Engineering, Mining, IT, Manufacturing and Finance professionals with top firms across the Western Cape, Eastern Cape, KwaZulu Natal, Gauteng and in Africa. Hire Resolve has assisted candidates to find jobs at over 100 JSE listed companies of which many are global companies with offices and operations in South Africa and Africa. It is for this reason that we are well respected in the industries we operate in and in the recruitment industry.

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