Analytics Engineer III

As a data scientist or machine learning engineer at BMS Hyderabad, your role will involve ideating, designing, developing, modeling, and deploying advanced solutions. You will collaborate with stakeholders to define project objectives, formulate data-driven hypotheses, and identify KPIs for analysis. Your responsibilities will include gathering, pre-processing, and exploring large-scale structured and unstructured data from diverse sources such as clinical trials, patient records, and genetic data. You will apply advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract insights and develop models that drive actionable recommendations. Additionally, you will conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems. Collaboration with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling will be essential. Furthermore, you will communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations. Staying up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry will also be a part of your role. Lastly, you will mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiatives.

**Key Responsibilities:**

• Hands-on data scientist or machine learning engineer
• Collaborate with stakeholders to define project objectives
• Gather, pre-process and explore large-scale structured and unstructured data
• Apply advanced statistical analysis, machine learning algorithms, and predictive modelling techniques
• Conduct exploratory data analysis (EDA)
• Develop and implement predictive models
• Collaborate with data engineers and IT teams
• Communicate complex analytical findings and insights
• Stay up-to-date with the latest methodologies
• Mentor and provide guidance to junior data scientists

**Qualifications Required:**

• Bachelor's, master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science or related discipline
• 2 to 5 years of experience in a data science role, preferably within the biopharma or pharmaceutical industry
• Strong background in statistical analysis, machine learning, and predictive modeling techniques
• Experience in handling and analyzing large-scale structured and unstructured data sets
• Familiarity with sourcing social media data from external sources

BMS Hyderabad is an integrated global hub dedicated to helping patients prevail over serious diseases by building sustainable and innovative solutions. It is a science, technology, and innovation center that supports a range of technology and drug development activities to usher in the next wave of innovation. As a data scientist or machine learning engineer at BMS Hyderabad, your role will involve ideating, designing, developing, modeling, and deploying advanced solutions. You will collaborate with stakeholders to define project objectives, formulate data-driven hypotheses, and identify KPIs for analysis. Your responsibilities will include gathering, pre-processing, and exploring large-scale structured and unstructured data from diverse sources such as clinical trials, patient records, and genetic data. You will apply advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract insights and develop models that drive actionable recommendations. Additionally, you will conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems. Collaboration with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling will be essential. Furthermore, you will communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations. Staying up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry will also be a part of your role. Lastly, you will mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiatives.

**Key Responsibilities:**

• Hands-on data scientist or machine learning engineer
• Collaborate with stakeholders to define project objectives
• Gather, pre-process and explore large-scale structured and unstructured data
• Apply advanced statistical analysis, machine learning algorithms, and predictive modelling techniques
• Conduct exploratory data analysis (EDA)
• Develop and implement predictive models
• Collaborate with data engineers and IT teams
• Communicate complex analytical findings and insights
• Stay