Principal Data Scientist / Senior D...

Benovymed Healthcare Private Ltd is actively seeking passionate and experienced individuals for various Data Science and Machine Learning roles, including Principal Data Scientist, Senior Data Scientist, Data Scientist, Junior Data Scientist, Data Science Intern, and Machine Learning Engineer. This is an immediate joining opportunity within a global tech AI health startup. The primary work location is Delhi NCR, India, at their Global HQ, Technology Development and Innovation Center, and R&D and AI Health Innovation Center.

The ideal candidate will possess a strong entrepreneurial mindset and extensive experience in applied AI, Machine Learning, Deep Learning, ANN, and CNN platforms. Applicants should be adept at working independently or as part of a small Data Science team, taking full end-to-end ownership of data science projects, from conception to delivery. Previous experience in a reputed AI Data Science-driven tech startup, preferably in the healthcare domain, is highly desirable.

Key Responsibilities and Skillsets:

• Possess strong statistical, mathematical, and predictive modeling skills, coupled with business strategy acumen to develop algorithms and derive actionable insights.
• Demonstrate excellent communication skills, capable of conveying findings effectively both verbally and visually.
• Understand product development lifecycles and uphold ethical responsibilities concerning big data and consumer privacy.
• Exhibit a natural curiosity to delve deep into complex problems and a confident, self-assured demeanor when facing ambiguity.
• Proficiency in Artificial Neural Networks (ANN), AI conversational chatbots, and the ability to write required algorithms and code.
• Experience with programming languages such as Python, TensorFlow, Keras, AWS (ML and DL), NumPy, and PyTorch is preferred.
• Familiarity with Natural Language Processing (NLP), Machine Learning, conceptual modeling, statistical analysis, predictive modeling, and hypothesis testing is essential.
• Capabilities should include data cleaning and formatting, database querying, statistical analysis, AI data modeling, model validation, and deployment.
• Experience in developing or programming databases and a solid understanding of design and architecture principles are beneficial.

Qualifications:

Candidates should hold a B.Tech / M.Tech degree in Computer Science Engineering, Electrical, Electronics & Communication, Mathematics & Computing, Statistics, Biotechnology, Biostatistics, or Clinical Engineering, with a specialization in Data Science or Machine Learning from a top-rated technology university or IIT/IIIT.

Mandatory Requirements:

• A minimum of 0 to 7 years of strong, relevant industry experience exclusively in applied AI/ML & Deep Learning Data Science projects within an early-stage AI Health startup. Candidates should have worked in roles such as a full-stack Principal Data Scientist or Sr. Data Scientist.
• Proven expertise in ANN / Deep Learning / Machine Learning / NLP, with at least 2-20 applied AI-oriented research projects and applications. Experience working with ANN, CNN, RNN, and deep learning in Digital Health startups to solve complex problems is mandatory.

Compensation:

The company offers a competitive compensation package, described as 'Best Package in Industry,' with terms and conditions applying. For deserving candidates, company equity/ESOPs may be provided as part of a long-term career opportunity. Applicants are requested to submit their CV with a passport-size photo, current CTC, expected CTC, notice period, project details, and a cover letter.