Prescience Decision Solutions Reviews by Employees

- Data Scientist with 3-4 years of experience to play a critical role in enhancing Large Language Model (LLM) development lifecycle. - Will be responsible for designing and building sophisticated, LLM-assisted Quality Assurance (QA) solutions. - The primary goal is to analyze model failures, identify data gaps, and create real-time tools that guide our human data generators to produce high-impact training data. - This role is highly analytical and technical, sitting at the critical intersection of model evaluation, data analysis, and human-in-the-loop process improvement. Key Responsibilities - Develop LLM-Assisted QA Solutions: Design, build, and deploy intelligent tools that assist human data generators in real-time, verifying that new data aligns with identified model needs. - Analyze Model Failures: Conduct deep-dive analyses into model failure modes to identify and categorize new loss patterns and emerging weaknesses. - Run Studies: Systematically design and execute experiments to understand model behavior and pinpoint the root causes of errors. - Define Data Requirements: Translate your analysis of model failures into specific, actionable data requirements for our human data generation teams to target for model improvement. - Create Quality Rubrics: Develop, document, and maintain comprehensive quality control rubrics and evaluation metrics. - These rubrics must be adaptable across a wide variety of use cases, domains, and industry sectors. - Verify Data Generation: Build processes to validate that the human-generated data effectively targets and suits the existing and newly identified loss patterns. - Collaborate Cross-Functionally: Work closely with ML Engineers, AI Researchers, and Data Operations teams to ensure your QA solutions and insights are seamlessly integrated into the model training and deployment pipeline. Required Qualifications - Experience: 3-4 years of professional experience in Data Science, Machine Learning Engineering, or a related role with a focus on NLP. - Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Computational Linguistics, or a related quantitative field. - LLM/NLP Expertise: Strong hands-on experience with Large Language Models (LLMs), NLP techniques, and the modern transformer ecosystem ( transformers library, GPT-family, BERT, T5). - Technical Skills: High proficiency in Python and standard data science/ML libraries ( Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). - Analytical Mindset: Proven ability to perform deep, rigorous analysis on complex and often unstructured data (model outputs, failure logs) to derive actionable insights. - Strong Communication: Excellent ability to create clear, concise documentation (especially technical rubrics) and communicate complex findings to both technical and non-technical stakeholders. Preferred Qualifications (Nice-to-Have) - Direct experience building human-in-the-loop (HITL) systems or data annotation/QA tools. - Experience in experimental design and A/B testing within an ML context. - Familiarity with data-centric AI principles and practices. - Background in MLOps (experiment tracking, model versioning, deployment). - Experience working in a fast-paced R&D or product-driven environment.

Hyderabad

Prescience Decision Solutions -  Data Scientist 

Description: - Drive Strategic Insights: Apply best practices in analytics, strategy, and operations to enhance product features and influence cross-functional teams toward achieving business objectives. - Analyze & Identify Opportunities: Lead the analysis of complex challenges to uncover high-impact opportunities that improve the customer experience. - Define & Monitor Metrics: Develop and track KPIs to measure user experience, and perform root cause analysis to understand metric movements. - Own Business Outcomes: Set clear objectives, measure progress, and deliver results by leading projects that boost engagement, product conversion, and overall business performance. - Collaborate Cross-Functionally: Partner with product, engineering, analytics, and business teams to design and implement data-driven solutions. - Communicate Impact: Effectively communicate findings and recommendations to both technical and non-technical audiences. - A proven data scientist with strong analytical skills and the ability to dive deep into data to identify causes and opportunities. - Highly proficient in statistics, A/B testing, and quantitative research methodologies. - Proactive in leveraging data to resolve issues and deliver results quickly. - Demonstrates strong business acumen and product sense to spot new opportunities. - Takes ownership, is self-motivated, and thrives in a fast-paced environment. - Exceptional communicator with outstanding listening, written, and verbal skills. Requirements: - Bachelors degree (BE/BTech) in a quantitative field such as Engineering, Statistics, Mathematics, Data Science, or related disciplines. - 3+ years of relevant experience in the following: Quantitative Research, Analytics, Engineering, Data Science, or Statistics. - Strong skills in SQL, Python, Tableau, Excel, and PowerPoint. - Demonstrated curiosity, creativity, and a proven track record of delivering results through data analysis. - Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact. Benefits: - Competitive salary and performance-based bonuses. - Comprehensive insurance plans. - Collaborative and supportive work environment - Chance to learn and grow with a talented team. - A positive and fun work environment Desired Skills and Experience: - Bachelors degree (BE/BTech) in a quantitative field such as Engineering, Statistics, Mathematics, Data Science, or related disciplines. - 3+ years of relevant experience in the following: Quantitative Research, Analytics, Engineering, Data Science, or Statistics. - Strong skills in SQL, Python, Tableau, Excel, and PowerPoint. - Demonstrated curiosity, creativity, and a proven track record of delivering results through data analysis. - Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact

Bangalore

Prescience Decision Solutions - Senior Product Analyst 

Apply to 2 Prescience Decision Solutions jobs on iimjobs.com, India's No.1 Management job portal. Explore Management job in Prescience Decision Solutions Now! Company Page, IIM MBA Jobs, Ecommerce, Retail, Business, Development, Manager, Technology, Healthcare, Telecom, Insurance, FMCG, Media, BFSI, Director, VP/AVP, CEO/CFO, AGM/DGM

Apply to 2 Prescience Decision Solutions jobs on iimjobs.com, India's No.1 Management job portal. Explore Management job in Prescience Decision Solutions Now! Comapny page, IIM MBA Jobs, Ecommerce, Retail, Business, Development, Manager, Technology, Healthcare, Telecom, Insurance, FMCG, Media, BFSI, Director, VP/AVP, CEO/CFO, AGM/DGM

Prescience Decision Solutions Jobs