Principal Data Scientist- Hyderabad (Hydrid) (India)

Principal Data Scientist- Hyderabad (Hydrid) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to deliveringfor each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know: Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to building an inclusive culture where you can authentically be yourself. Central to this is our purpose Driven to Deliver which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someones life. We are continuously building the company we all want to work for and our customers want to work with. Why Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities The Technology Solutions business unit is the Syneos Health accelerator for life sciences technology and innovation. Our work supports getting meaningful new medicines to patients faster with greater positive impact. Technology Solutions homegrown products and applications, commercial off-the-shelf, and software-as-a-service products ensure all employees work in a secure environment with clean data and deliver insights as part of our integrated strategy for customers. The Principal Data Scientist will shape the strategic vision for data science within the organization, focusing on pioneering advanced methodologies and fostering cross-functional collaboration. This role will lead complex projects, provide thought leadership, and drive research initiatives that significantly impact business outcomes. This role involves collaborating with executives to align data science efforts with broader company goals and mentoring team members. Job Responsibilities - Help define and execute the strategic vision for data science within the organization, aligning with long-term business goals. - Serve as a key technical advisor, providing technical expertise and specific guidance on critical data-driven projects. - Interact with product teams to identify questions and issues for data analysis and experiments. - Design, develop, and implement algorithms and processes to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. - Assist team in identifying meaningful insights from large data and metadata sources, interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. - Create and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets. - Have broad analytics experience or innovative knowledge and use skills to contribute to achieving company objectives in creative and effective ways. - Work on unique issues where analysis of situations or data requires an evaluation of intangibles. - Mentor and coach junior team members across the business. - Represent the organization in industry conferences and forums, sharing insights and establishing thought leadership. Qualification Requirements - Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred. - Proficiency with programming languages like Python, R, and SQL. - Proficiency with source code management, development workflows, and distributed version control. - Experience with a cloud service provider (preferably Microsoft Azure) and data/analytics platforms (such as Azure Databricks) from cloud service providers. - Expert-level knowledge of causal analysis and causal inference with significant experience deploying causal models. - Solid track record of solving complex business problems using advanced data science techniques and leading research and development of new data science methodologies. - Ability to unify the direct team and peers and interact effectively as a strategic partner with senior management to influence organizational strategy. - Strong network Pr