Principal Data Scientist/ Senior Da...

Benovymed Healthcare Private Limited is seeking a passionate and entrepreneurial individual for a multifaceted Data Scientist role. This is an exciting opportunity to join a global tech AI health startup and take end-to-end ownership of data science projects.

The ideal candidate will have a strong background in applied AI, Machine Learning (ML), Deep Learning (DL), Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN). We are looking for "doers" who are comfortable working independently or as part of a small, agile data science team, ideally with prior experience in a reputable AI-driven tech startup, preferably within the healthcare sector.

Key Responsibilities:

• Develop algorithms leveraging statistical, mathematical, and predictive modeling techniques to answer critical business questions.
• Effectively communicate findings through oral presentations and visual aids.
• Understand product development lifecycles and uphold ethical responsibilities concerning consumer data privacy.
• Demonstrate a proactive approach to problem-solving and a desire to delve deeply into complex issues.
• Exhibit confidence and self-assurance when navigating ambiguous situations.
• Develop and implement AI conversational chatbots.
• Write required algorithms and perform programming tasks.

Required Skillsets:

• Proficiency in programming languages such as Python, TensorFlow, Keras, AWS (ML and DL), NumPy, and PyTorch.
• Familiarity with Natural Language Processing (NLP), Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis Testing.
• Experience in data cleaning, formatting, querying databases, performing statistical analysis, building AI data models, validating AI models, and deployment.
• Ability to develop or program databases.
• Strong understanding of design and architecture principles.

Qualifications:

• B.Tech / M.Tech in Computer Science Engineering, Electrical Engineering, Electronics & Communication Engineering, Mathematics & Computing, Statistics, Biotechnology, Biostatistics, or Clinical Engineering with a specialization in Data Science or Machine Learning from a top-tier tech university or IIT/IIIT.

Mandatory Experience:

• 0 to 7 years of exclusive, strong industry experience in real-world projects involving applied AI, ML, and Deep Learning Data Science, preferably within an early-stage AI Health startup.
• Demonstrated expertise in ANN, Deep Learning, Machine Learning, and NLP, with at least 2-20 applied AI-oriented research projects and applications focused on ANN, CNN, RNN, and deep learning in Digital Health startups to solve complex problems.

Compensation and Benefits:

• Competitive industry package.
• Terms and conditions apply.
• Company equity/ESOPs may be offered to deserving candidates as part of a long-term career opportunity.

Interested candidates should apply with their CV, passport-size photo, current CTC, expected CTC, notice period, project details, and a cover letter.