Data Scientist

About the role

KeyValueKeyValue is an AI‑first product development hub seeking a motivated Data Scientist to design, develop, and deploy data‑driven models that address complex business challenges. You will work closely with data engineers, software developers, and business stakeholders to turn insights into impactful solutions.

Key responsibilities

• Analyze large datasets to extract actionable business insights.
• Develop, train, and deploy predictive models for use‑cases such as customer segmentation, demand forecasting, and anomaly detection.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions.
• Perform data preprocessing, feature engineering, and ensure model scalability, efficiency, and accuracy.
• Monitor, evaluate, and continuously improve deployed models.
• Stay up‑to‑date with the latest machine‑learning research and best practices.
• Communicate findings and recommendations to both technical and non‑technical audiences.

Required profile

• 3–7 years of experience in data science or a related field.
• Proven ability to build, train, and deploy machine‑learning models.
• Strong problem‑solving skills and experience working with large, complex datasets.
• Excellent communication and collaboration abilities.

Required skills

• Python programming.
• Machine‑learning libraries: TensorFlow, PyTorch, Scikit‑learn.
• Statistical techniques and algorithms for supervised and unsupervised learning.
• Experience with cloud platforms (AWS, GCP, Azure) – bonus.
• Familiarity with big‑data tools such as Hadoop or Spark – bonus.
• Knowledge of MLOps tools and workflows – bonus.
• Data‑visualisation tools like Tableau or Power BI – bonus.