Data Scientist ML

We are seeking a talented Data Scientist with expertise in Machine Learning to join our growing team in Hyderabad/Secunderabad, Telangana, India. At Team Geek Solutions, you will play a pivotal role in extracting and analyzing data to optimize product development and marketing strategies. You will dive deep into large datasets to identify critical trends, patterns, and insights that will shape business decisions.

Your core responsibilities will include leveraging predictive and AI/ML modeling techniques to enhance customer experiences, drive revenue growth, and improve ad targeting. You will design, implement, and optimize machine learning models for a variety of applications, including predictive analytics, natural language processing, and recommendation systems. Conducting experiments, fine-tuning models, and evaluating their performance using appropriate metrics will be crucial. You will also be responsible for deploying machine learning models into production environments, ensuring scalability and efficiency.

Qualifications:

• A Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• A minimum of 2 years of experience in Analytics, Machine Learning, and Deep Learning.
• Proficiency in Python and familiarity with key machine learning libraries such as Numpy, Pandas, TensorFlow, Keras, PyTorch, and Scikit-learn.
• Strong experience in data wrangling, cleaning, and transforming raw data into structured, usable formats.
• Hands-on experience in developing, training, and deploying machine learning models for applications like predictive analytics, recommendation systems, and anomaly detection.
• In-depth understanding of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and their practical use cases.
• Experience with model evaluation techniques including cross-validation, A/B testing, and performance metrics.
• Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalability.
• Proficiency in data processing and manipulation techniques.
• Excellent problem-solving abilities and a collaborative work ethic.
• Strong communication skills to effectively present complex technical concepts to non-technical stakeholders.

Nice to Have:

• Experience in the banking or financial services sector.
• Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP.