Data Scientist

We are looking for a talented and motivated Data Scientist with 2 to 5 years of experience 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:

• 2-5 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.