We are seeking a Senior Data Scientist to join our dynamic Data Science team. In this role, you will utilize your analytical skills and business acumen to drive product development and uncover insights from our vast user datasets. You will collaborate with cross-functional teams to enhance existing products and develop new solutions using advanced AI/ML techniques.
What You’ll Do
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Model Development. Build AI/ML models for content generation, recommendation, and moderation using large language models (LLMs) and other machine learning techniques.
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Algorithm Design. Convert business requirements into robust data science algorithms, including NLP, statistical, and recommendation algorithms.
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Data Analysis. Leverage user data to develop models and create data products in collaboration with Development & Product teams. Develop and maintain model validation frameworks.
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Insight Generation. Translate complex analytical results into actionable insights and recommendations for product and engineering teams.
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Documentation. Create effective data flow diagrams and roadmaps to address complex problems.
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Team Leadership. Recruit, build, and retain a top-tier data science team. Inspire and motivate team members to drive analytic innovation and excellence.
What You’ll Need
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Experience. Proven track record in solving business problems with data science/ML/AI from ideation to delivery. Experience with Python programming, machine learning algorithms, and statistical methods.
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NLP Expertise. Deep understanding of NLP techniques and algorithms, with experience in frameworks like TensorFlow, PyTorch, and Hugging Face.
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LLM/GenAI. Familiarity with various LLM/GenAI frameworks such as GPT, Gemini, LLaMa, Phi, etc.
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Multimodal Models. Experience with multimodal data science models (e.g., text-to-image, image-to-text) is a plus.
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ML Systems. Experience in designing and implementing ML systems, including data pipelines, feature engineering, and model training/evaluation.
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Communication Skills. Strong communication and collaboration skills to effectively work with other teams and stakeholders.
What’s Good to Have
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Business Problem Solving. Experience in end-to-end data science solutions for complex business problems.
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Technical Skills. Strong programming in Python, familiarity with various machine learning algorithms, and experience with data visualization tools.
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ML Systems. Experience with deploying models into production environments (e.g., Jenkins) is a plus.
Experience Level
- Technical Architect. 10+ years in Data Science with a focus on advanced analytics and machine learning.
Benefits
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Compensation. Competitive salary with a tax-friendly structure, bi-annual bonus, annual/bi-annual appraisals, and equity in the company.
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Health Benefits. Comprehensive group mediclaim, Practo Plus health membership for employees and family, personal accidental & term life insurance.
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Time Away. 24 days paid leave, fixed holidays, paternity and maternity leave, compassionate and marriage leave, COVID leave (up to 7 days).
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Additional Perks. Internet and home office reimbursement, in-office catered lunch, meals, and snacks, certification policy, cab pick-up and drop-off, quarterly team outings, annual party, and Diwali gifts.
About BOLD
BOLD is committed to diversity and inclusion and is an Equal Opportunity Employer. We hire based on qualifications, merit, and business needs without discrimination.
How to Apply
If you are passionate about data science and meet the qualifications, please submit your resume and cover letter to [application email/website]. We look forward to exploring the possibilities with you!