Data Science Lead Job Vacancy in Accra, Ghana – Technology

Job Description

Position: Data Science Lead

Company: Microsoft Ghana

Location: Accra, Ghana

Experience: 5+ years of proven experience in data science, machine learning, statistical modeling, and big data analytics, preferably within the technology sector.

Education: Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative discipline.

Employment Type: Full-time

Industry: Technology

Department: Data & Analytics

Salary: SSP 120,000 – 180,000 per annum

Vacancies:1

Company Overview

Microsoft Ghana is a leading global technology company dedicated to empowering individuals and organizations through innovative cloud solutions, artificial intelligence, and cutting‑edge software platforms. With a strong presence in Accra and a commitment to digital transformation across Africa, Microsoft Ghana offers a dynamic environment where talent thrives and career growth is accelerated. As part of the broader Microsoft ecosystem, the Ghana office plays a pivotal role in delivering localized solutions, fostering partnerships, and supporting the nation’s Vision 2030 digital agenda. This position provides an excellent opportunity for professionals seeking to contribute to high‑impact projects while advancing their expertise in a world‑class organization. The role aligns with the growing demand for data‑driven decision making in Ghana, making it a prime career move for those passionate about leveraging data to solve real‑world challenges. Join us and be part of a team that is shaping the future of technology in Ghana and beyond.

Job Overview

The Data Science Lead will spearhead the design, development, and deployment of advanced analytics and machine learning models that drive strategic insights for Microsoft Ghana’s product and service offerings. Reporting to the Head of Data & Analytics, you will collaborate with cross‑functional teams—including engineering, product management, and sales—to translate business objectives into data‑centric solutions. This role is central to enhancing customer experiences, optimizing operational efficiency, and supporting the company’s growth objectives in the Ghanaian market. For more information about our commitment to talent development, visit https://ghanajobsearch.com/. The position is classified as a full‑time role with competitive compensation and a comprehensive benefits package.

Key Responsibilities

• Lead the end‑to‑end lifecycle of data science projects, from problem definition and data acquisition to model deployment and monitoring.
• Develop and implement scalable machine learning algorithms that address business challenges in areas such as customer segmentation, predictive maintenance, and revenue forecasting.
• Collaborate with data engineers to ensure robust data pipelines and high‑quality data sources for analytical workloads.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and technical excellence.
• Communicate complex analytical findings to non‑technical stakeholders through clear visualizations and storytelling techniques.
• Stay abreast of emerging technologies and best practices in AI, deep learning, and big data, integrating relevant innovations into the team’s workflow.
• Ensure compliance with data privacy regulations and Microsoft’s ethical AI guidelines throughout all project phases.

Required Skills

• Proficiency in programming languages such as Python or R, with extensive experience in libraries like TensorFlow, PyTorch, scikit‑learn, and pandas.
• Strong command of SQL and familiarity with NoSQL databases (e.g., Cosmos DB, MongoDB) for data extraction and manipulation.
• Hands‑on experience with cloud platforms, particularly Microsoft Azure services such as Azure Machine Learning, Databricks, and Synapse Analytics.
• Expertise in statistical modeling, hypothesis testing, and experimental design.
• Ability to translate business requirements into analytical solutions and articulate insights to senior leadership.
• Excellent problem‑solving skills, attention to detail, and a proactive attitude toward innovation.

Education

A Master’s degree in a quantitative field is required. Candidates with Ph.D. qualifications are highly regarded, especially those with research publications in top‑tier conferences or journals related to machine learning or data mining.

Experience

Minimum of five years of professional experience in data science roles, with a proven track record of delivering production‑grade machine learning models in a commercial setting. Experience within the technology sector or SaaS environments is preferred.

Salary

The compensation range for this role is SSP 120,000 – 180,000 per annum, commensurate with experience, expertise, and performance. Additional performance‑based bonuses may be awarded.

Benefits

• Comprehensive health insurance covering medical, dental, and vision care.
• Retirement savings plan with company matching contributions.
• Generous paid time off, including vacation, sick leave, and public holidays.
• Employee stock purchase program and equity incentives.
• Professional development allowance for certifications, conferences, and training.
• Flexible working arrangements and remote‑work options.

Training

• Access to Microsoft Learn platform for continuous skill enhancement.
• On‑the‑job mentorship from senior data scientists and AI researchers.
• Opportunities to attend internal hackathons, AI bootcamps, and industry seminars.
• Support for advanced certifications such as Azure Data Scientist Associate.

Working Environment

Microsoft Ghana offers a collaborative, inclusive, and innovative workplace where diversity of thought is celebrated. The office is equipped with state‑of‑the‑art facilities, ergonomic workstations, and collaborative spaces designed to foster creativity. Employees benefit from a culture that encourages work‑life balance, open communication, and continuous feedback.

Application Process

Interested candidates should submit their updated resume and a cover letter outlining their relevant experience through the online portal on the Microsoft Careers website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site technical assessment at our Accra office.

Equal Opportunity Statement

Microsoft Ghana is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.