Data Science Lead Job Vacancy in Bethanie, Namibia – Technology

AI / Data Science Manager
Bethanie
September 6, 2026
Full Time
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Job Description

Position: Data Science Lead

Company: Google

Location: Bethanie, Namibia

Experience: 8+ years

Education: Master’s degree in Computer Science, Data Science, or related field

Employment Type: Full-time

Industry: Technology

Department: Data & Analytics

Salary: SSP 500,000 – 800,000 per annum

Vacancies:1

Company Overview

Google, a global leader in internet services and innovative technology solutions, has expanded its footprint into Namibia to harness local talent and drive digital transformation across the region. With a commitment to sustainable growth, Google invests in cutting‑edge research, cloud infrastructure, and AI initiatives that empower businesses and communities. The Bethanie office serves as a strategic hub for data‑driven projects, offering a collaborative environment where creativity meets technical excellence. As part of Google’s mission to organize the world’s information, the company provides unparalleled career opportunities for professionals seeking to make a meaningful impact in the technology sector.

Job Overview

The Data Science Lead will spearhead advanced analytics initiatives, guiding a multidisciplinary team to develop predictive models, machine learning pipelines, and data‑centric products that support Google’s regional objectives. This role is pivotal in translating complex data sets into actionable insights for clients in finance, agriculture, health, and government sectors throughout Namibia. The successful candidate will collaborate closely with engineering, product, and business development teams, ensuring that data solutions align with strategic goals. For more information about Google’s presence in Namibia, visit https://namibiajobsearch.com/. This position offers a unique platform to influence technology adoption and drive innovation across the country, contributing to the broader narrative of Jobs in Namibia and Career Opportunities in Namibia.

Key Responsibilities

  • Lead the design, development, and deployment of scalable machine learning models and analytics frameworks.
  • Mentor and manage a team of data scientists, analysts, and engineers, fostering a culture of continuous learning.
  • Collaborate with cross‑functional stakeholders to identify business problems and translate them into data‑driven solutions.
  • Oversee data collection, cleaning, and preprocessing pipelines to ensure high‑quality inputs for modeling.
  • Present findings and strategic recommendations to senior leadership and external partners.
  • Stay abreast of emerging AI technologies and integrate best practices into project workflows.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Required Skills

  • Expertise in Python, R, SQL, and big data platforms such as Hadoop or Spark.
  • Proven experience with deep learning frameworks (TensorFlow, PyTorch) and statistical modeling.
  • Strong leadership and people‑management abilities.
  • Excellent communication skills for translating technical concepts to non‑technical audiences.
  • Ability to work in fast‑paced, agile environments.
  • Knowledge of cloud services (Google Cloud Platform preferred).

Education

A Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative discipline is required. Candidates with a Ph.D. or equivalent research experience are highly valued.

Experience

Minimum of eight years of professional experience in data science, with at least three years in a leadership or managerial capacity. Demonstrated success in delivering end‑to‑end AI solutions for enterprise clients is essential.

Salary

The role offers a competitive salary ranging from SSP 500,000 to SSP 800,000 per year, complemented by performance‑based bonuses and equity incentives aligned with Google’s global compensation philosophy.

Benefits

  • Comprehensive health insurance covering medical, dental, and vision.
  • Generous paid time off and parental leave.
  • Retirement savings plan with company matching.
  • Professional development stipend and access to Google’s internal learning platforms.
  • Flexible work arrangements, including remote‑work options.

Training

  • Onboarding program focused on Google’s data infrastructure and AI ethics.
  • Continuous upskilling through workshops, conferences, and certifications.
  • Mentorship opportunities with senior researchers and engineers.

Working Environment

Google’s Bethanie office provides a modern, collaborative workspace equipped with state‑of‑the‑art technology, ergonomic furniture, and vibrant communal areas. The culture emphasizes inclusivity, creativity, and a growth mindset, encouraging employees to experiment, share ideas, and drive impact. Employees enjoy a supportive community that values diversity and promotes work‑life balance.

Application Process

Interested candidates should submit an online application through Google’s career portal, attaching a detailed resume and a cover letter outlining relevant experience and motivation for the role. Shortlisted applicants will undergo a multi‑stage interview process, including technical assessments, case studies, and leadership interviews. The hiring timeline typically spans four to six weeks.

Equal Opportunity Statement

Google is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, or any other protected characteristic. Our hiring practices reflect our dedication to fostering a workplace where every individual can thrive and contribute to the success of our mission in Namibia.