Senior Data Scientist

7 days ago

Bengaluru, Karnataka, India Weekday AI Full time
This role is for one of the Weekday's clients

Min Experience: 2 years

Location: Bengaluru

JobType: full-time

We are seeking a highly motivated and skilled Senior Data Scientist to join our team and play a key role in driving innovation through data science, artificial intelligence (AI), and advanced analytics. The ideal candidate will bring strong expertise in machine learning, deep learning, and natural language processing (NLP), along with a passion for solving complex business problems through data-driven approaches. This role is ideal for professionals who enjoy working in a dynamic, fast-paced environment and who are eager to contribute to designing and deploying intelligent systems that impact real-world outcomes.

Requirements

Key Responsibilities:

- Develop, implement, and optimize machine learning and AI models to address business challenges across various domains.
- Apply deep learning techniques for tasks such as image recognition, text processing, predictive analytics, and recommendation systems.
- Lead projects in natural language processing (NLP), including sentiment analysis, entity recognition, text classification, and conversational AI.
- Collaborate with cross-functional teams—including product managers, engineers, and domain experts—to identify opportunities where data science and AI can create measurable value.
- Conduct data exploration and analysis to extract meaningful insights from structured and unstructured datasets.
- Design, build, and maintain end-to-end pipelines for data collection, preprocessing, model training, evaluation, and deployment.
- Stay updated with the latest advancements in AI, ML, NLP, and deep learning, and recommend innovative approaches for their practical implementation.
- Mentor junior data scientists and analysts, providing guidance on best practices in data science, machine learning, and model evaluation.
- Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
- Ensure models are scalable, explainable, and ethical, while addressing concerns of bias, fairness, and data privacy.

Required Skills and Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
- 2–6 years of hands-on experience in data science, machine learning, and AI-driven projects.
- Strong proficiency in programming languages such as Python or R, with expertise in libraries like TensorFlow, PyTorch, Scikit-learn, Keras, or similar frameworks.
- Solid understanding of deep learning architectures (CNNs, RNNs, LSTMs, Transformers, GANs) and their applications.
- Proven experience working with NLP techniques including tokenization, embeddings, attention mechanisms, and transformer-based models (e.g., BERT, GPT).
- Experience with data preprocessing, feature engineering, and statistical analysis.
- Familiarity with cloud-based platforms (AWS, Azure, GCP) for model training and deployment.
- Strong problem-solving skills and ability to translate business requirements into data science solutions.
- Excellent communication skills with the ability to present technical concepts to non-technical audiences.

Preferred Skills:

- Experience in deploying machine learning models in production environments.
- Familiarity with big data tools such as Spark, Hadoop, or Hive.
- Knowledge of MLOps practices for managing model lifecycle and performance monitoring.
- Exposure to reinforcement learning or other advanced AI subfields.

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