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A leading company in broadcast management systems seeks an experienced Data Scientist to drive AI initiatives. The role offers the opportunity to work with cutting-edge technologies, build predictive models, and collaborate across teams to develop data-driven insights. Ideal candidates should possess a strong background in Python, machine learning frameworks, and statistical analysis, along with excellent communication skills to convey technical concepts to non-technical stakeholders.
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Extract, clean, and preprocess large-scale datasets from structured and unstructured sources.
Build, validate, and tune predictive and descriptive models using state-of-the-art algorithms.
Leverage statistical analysis, machine learning, and deep learning to solve real-world problems.
Partner with engineering teams to integrate models into production environments.
Work with product and business stakeholders to define data-driven KPIs and success metrics.
Translate complex technical findings into business-friendly insights and visualizations.
AI Lifecycle Contribution
Contribute to all phases of the AI lifecycle: problem framing, data wrangling, modelling, evaluation, and deployment.
Maintain and improve data pipelines and ML workflows in collaboration with MLOps and engineering teams.
Stay abreast of the latest research and trends in AI/ML/Data Science.
Rapidly prototype experimental approaches and evaluate performance against benchmarks.
Promote best practices in data science and mentor junior data practitioners where applicable.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
3+ years of experience in data science or analytics roles, ideally within an AI-focused team.
Proficiency in Python, or similar languages for statistical analysis and model building.
Hands-on experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Strong SQL skills and familiarity with big data platforms (e.g., Spark, Hadoop).
Experience with data visualization tools such as Power BI, Tableau, or Plotly.
Solid understanding of statistical modeling, A/B testing, and predictive analytics.
Ability to simplify complex technical concepts for non-technical stakeholders.
Preferred Skills (Nice to Have)
Experience deploying ML models to production in cloud environments (AWS, Azure, GCP).
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, DVC).
Exposure to NLP, or reinforcement learning is a plus.
Knowledge of data governance, privacy, and ethical AI practices.
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Computer Software & Networking 11-50 employees
MSA Focus is one of the world’s leading suppliers of broadcast management systems, with many years of experience and a proven track record. Our worldwide market presence has led to the establishment of a global support network with offices in Europe, America, and Asia.
Conceived with an eye firmly on the future and the constantly developing, media-rich world in which we now operate, ForeTV, our next-generation solution, offers a consolidated approach to total schedule and revenue management for all types of broadcast delivery. MSA Focus offers a good career with global exposure to best business practices and a chance to be at the forefront of cutting-edge technologies.
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