{"id":"48addac7-f4c1-46ff-8273-2fa23e0cf2b2","company":{"id":"1499411a-21ff-450f-8550-19d0d3ce13ad","company_stack":[],"company_gallery":[{"image_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_gallery/bristol-myers-squibb/gal_1_XpJhmv1_32301163a0ad4e639b5af12d1da63474.jpg","alt":null},{"image_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_gallery/bristol-myers-squibb/gal_2_ldIXU0e_9c19c47c41a54390a65c152eb1eb0ef5.jpg","alt":null},{"image_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_gallery/bristol-myers-squibb/gal_3_ga0bh0Z_2336955c8e1f455b88678e8ffe9c53c4.jpg","alt":null},{"image_url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/company_gallery/bristol-myers-squibb/gal_4_ZKONkZz_8df63cfc68a04724b20d1639f9116784.jpg","alt":null}],"company_stats":[{"title":"30000+","description":"<p>Global strength</p>","primary_color":null,"secondary_color":null},{"title":"1500","description":"<p>Projected BMS Hyderabad team</p>","primary_color":null,"secondary_color":null}],"company_about_section":{"name":"Bristol Myers Squibb","video_link":null,"description":"<p style=\"text-align:justify\">We are a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.</p>\r\n\r\n<p style=\"text-align:justify\">Headquartered in New York City, we are one of the world&#39;s largest pharmaceutical companies who have been fortunate to consistently rank on the Fortune 500 list of companies in the US.</p>\r\n\r\n<p style=\"text-align:center\"><strong>About Bristol Myers Squibb Hyderabad</strong></p>\r\n\r\n<p style=\"text-align:justify\">BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. 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The Data Scientist will collaborate with cross-functional teams, conduct in-depth analysis, develop predictive models, and provide actionable recommendations to enhance business performance and drive innovation.</span></p><p></p><div><b><span><span>?</span></span><span>Roles &amp; Responsibilities</span></b></div><div></div><div><div><span><span>•</span></span><span>Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions</span></div><div><span><span>•</span></span><span>Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis</span></div><div><span><span>•</span></span><span>Gather, preprocess and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data</span></div><div><span><span>•</span></span><span>Apply advanced statistical analysis, machine learning algorithms, and predictive modelling techniques to extract insights and develop models that drive actionable recommendations</span></div><div><span><span>•</span></span><span>Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems</span></div><div><span><span>•</span></span><span>Develop and implement predictive models (e.g., regression, clustering, time series forecasting) and generative models (</span><span>e.g.</span><span> LLMs) to solve complex business challenges</span></div><div><span><span>•</span></span><span>Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling</span></div><div><span><span>•</span></span><span>Create and present complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations</span></div><div><span><span>•</span></span><span>Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry</span></div><div></div><div></div><div><b><span><span>?</span></span><span>Skills and competencies:-</span></b><br /> </div><div><span><span>•</span></span><span>Expertise in data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findings</span></div><div><span><span>•</span></span><span>Expertise in programming languages such as Python or R for data manipulation, analysis and modeling</span></div><div><span><span>•</span></span><span>Strong understanding of experimental design, hypothesis testing and A/B testing methodologies</span></div><div><span><span>•</span></span><span>Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges</span></div><div><span><span>•</span></span><span>Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders</span></div><div><span><span>•</span></span><span>Expertise in cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus</span></div><div><span><span>•</span></span><span>Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment</span></div><p></p><p><span>Experience</span> :-</p><p></p><div><span><span>•</span></span><span>We welcome a master&#39;s or Ph.D. in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.</span></div><div><span><span>•</span></span><span>Proven experience (typically 5&#43; 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