Lead Data Scientist - AI & Machine Learning
Our client, WhatJobs Direct, is seeking a visionary Lead Data Scientist specializing in AI and Machine Learning to spearhead innovative projects. This is a critical, on-site role based in Bekasi, West Java, ID, where you will lead a team of talented data scientists and engineers. You will be responsible for developing and implementing cutting-edge machine learning models and AI solutions that drive business growth and provide strategic insights. We are looking for an individual with a deep understanding of statistical modeling, data mining, and predictive analytics, coupled with proven leadership capabilities. You will play a pivotal role in defining the data science roadmap, guiding research initiatives, and ensuring the successful deployment of AI-powered products. This position demands a strategic thinker who can translate complex data into actionable business strategies. You will work closely with executive leadership, product teams, and other stakeholders to identify opportunities for leveraging data and AI.
Key Responsibilities
- Lead a team of data scientists, providing technical guidance and mentorship.
- Develop and implement advanced machine learning algorithms and statistical models.
- Design and execute experiments to test hypotheses and validate models.
- Analyze large datasets to identify trends, patterns, and insights.
- Build and deploy AI-powered applications and solutions.
- Collaborate with engineering teams to integrate ML models into production systems.
- Communicate complex findings and recommendations to technical and non-technical stakeholders.
- Define data science strategy and roadmap in alignment with business objectives.
- Stay current with the latest advancements in AI, machine learning, and data science.
- Ensure data quality, integrity, and ethical considerations in all data science initiatives.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Extensive experience in data science, with a focus on AI and machine learning.
- Proven experience leading data science teams and projects.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of statistical modeling, machine learning techniques, and algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) and database systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Demonstrated ability to drive data science initiatives from conception to deployment.
Benefits
- Highly competitive salary and executive bonus structure.
- Comprehensive health, dental, and vision insurance.
- Generous stock options or equity grants.
- Significant opportunities for career growth and leadership.
- On-site collaborative work environment.
- Access to state-of-the-art technology and research resources.
- Paid professional development and conference attendance.
- Relocation assistance available if needed.
- Company-funded retirement plan.
- Annual performance reviews with clear advancement paths.