Analytics Lead: Data Strategy & Ai Innovation

Humankind Group; South Africa; Remote; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Remote work flexibility

Home office stipend

Health insurance

Career development opportunities

Access to advanced tools

Job summary

Humankind Group seeks an experienced Lead Data Scientist in Tembisa to drive advanced analytics and ML initiatives. You will lead a team of data scientists and engineers, define the data science roadmap, and develop production-ready models that inform strategic decisions.

You will mentor talent, collaborate across departments, and stay ahead of AI trends to deliver business impact in a fast-paced research environment.

Qualifications

• Master's or PhD in a quantitative field such as CS, statistics, or math.
• 7+ years in data science with leadership of ML projects.
• Proficiency in Python or R and ML libraries.

Responsibilities

• Lead design, development, and deployment of ML models and AI solutions.
• Mentor data scientists and ensure high-quality project delivery.
• Collaborate with stakeholders to identify data-driven opportunities.
• Communicate findings to technical and non-technical audiences.
• Stay updated on AI advances and promote adoption.

Skills

Leadership

Strategic thinking

Stakeholder management

Mentoring

Data analysis

Communication

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Spark

Job description

Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their advanced analytics initiatives in Tembisa. This leadership role involves guiding a team of data scientists, defining the strategic roadmap for data-driven insights, and directly contributing to the development and deployment of sophisticated machine learning models. You will play a critical role in extracting actionable intelligence from vast datasets to inform business strategy, optimize operations, and uncover new growth opportunities. The successful candidate will possess a blend of technical expertise, strategic thinking, and leadership acumen, driving impactful data science projects from conception to production within our client's innovative environment.

About the Role

Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their AI and Machine Learning initiatives in Tembisa. This pivotal role involves leading a team of data scientists and engineers to develop and implement sophisticated predictive models and intelligent systems that will revolutionize our client's core business operations. You will be instrumental in defining the data science roadmap, translating complex business problems into actionable data-driven solutions, and fostering a culture of innovation. This is a unique opportunity to make a significant impact in a growing organization, driving strategic decisions through advanced analytics and machine learning in a hands-on, collaborative setting.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and AI solutions to address key business challenges.
• Mentor and guide a team of data scientists, fostering their technical growth and ensuring high-quality project delivery.
• Collaborate with stakeholders across various departments to identify opportunities for data-driven insights and automation.
• Perform complex data analysis, feature engineering, and model evaluation to ensure accuracy and effectiveness.
• Stay abreast of the latest advancements in AI, machine learning, and data science, and advocate for their adoption.
• Communicate findings, insights, and recommendations clearly and effectively to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science, with a proven track record of leading successful ML projects.
• Expertise in statistical modeling, machine learning algorithms (supervised, unsupervised, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience with data manipulation and analysis tools (SQL, Spark) and big data technologies.
• Excellent leadership, communication, and stakeholder management skills.

Benefits

• Highly competitive salary package with attractive bonuses.
• Full remote work flexibility with a generous home office stipend.
• Premium health, dental, and vision insurance plans.
• Significant opportunities for career advancement and leadership development.
• Access to state-of-the-art tools and technologies in a forward-thinking research environment.