KeyValue Software Systems - Data Scientist - Python/Hadoop (3-7 yrs)

About KeyValue.

KeyValue is a premier global AI-driven product development hub, dedicated to transforming ideas into scalable and impactful software products.

With expertise across diverse industries, we deliver high-quality solutions with the power of AI and automation.

As an AI-first organisation, we strive to push the boundaries of technology, offering accelerated, flexible, and cost-effective product development.

We are looking for a talented and motivated Data Scientist to join our growing team.

In this role, you will be responsible for designing, developing, and deploying data-driven models that solve complex business challenges.

You'll collaborate closely with data engineers, software developers, and business stakeholders to create innovative solutions that drive impact.

What you will do :

- Analyze large datasets and uncover valuable business insights through data mining techniques.

- Develop and deploy predictive models for various applications (e.g , customer segmentation, demand forecasting, anomaly detection).

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

- Design and implement data-driven models, ensuring scalability, efficiency, and accuracy.

- Perform data preprocessing and feature engineering to prepare data for analysis.

- Continuously monitor, evaluate, and optimize deployed models to improve performance.

- Stay current with the latest developments in machine learning and data science to implement best practices.

- Present findings and recommendations clearly to both technical and non-technical stakeholders.

What makes you a great fit

- 3-7 years of experience in data science or a related role.

- Proven expertise in building, training, and deploying machine learning models.

- Solid understanding of statistical techniques, machine learning algorithms (supervised, unsupervised learning), and deep learning.

- Proficiency in Python and hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.

- Strong problem-solving skills with the ability to work with large, complex datasets.

- Excellent communication and collaboration skills to work effectively with technical and non-technical teams.

Bonus points :

- Experience with cloud platforms (AWS, GCP, Azure).

- Familiarity with big data technologies (e.g , Hadoop, Spark).

- Experience with MLOps tools and workflows.

- Knowledge of data visualization tools like Tableau or Power BI.