Senior Data Scientist

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects.

Roles and Responsibilities

• Design, implement, and optimize machine learning algorithms using R and Python.
• Work on developing predictive models and decision-making systems.
• Conduct exploratory data analysis to understand data patterns and insights.
• Collaborate with data engineers to ensure the availability and quality of data for model training.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to integrate models into existing systems.
• Continuously optimize and improve the performance of machine learning models.
• Stay updated on the latest advancements in ML algorithms and technologies.
• Work closely with software engineers to ensure seamless integration of AI/ML solutions.
• Collaborate with clients to understand their business requirements and customize solutions accordingly.

Technical Skills

• Excellent programming skills with the ability to implement complex algorithms in Python or R.
• Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models.
• Strong experience of minimum 5 years in developing and implementing machine learning algorithms.
• Experience with model deployment and integration into production systems.
• Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras.
• Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.).
• Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance.
• Ability to collaborate effectively with cross-functional teams.
• Previous experience working on real-world AI/ML projects.
• Should be focused on linear algebra, machine learning, and statistics & probability are preferred.
• Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and collaboration skills.