Hybrid Senior Data Scientist – Azure, Causal Analysis

at Syneos Health

• Job title: Senior Data Scientist – Azure, Causal Analysis
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Hyderabad, India

About the role

• Senior Data Scientist developing data science solutions and supporting business goals at Syneos Health. Collaborating on innovative products and providing actionable insights from large datasets.

Responsibilities

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Create, document, and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• 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.
• Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
• Manage configuration, curation, and cataloging of internal and external tech and data resources and ‘always-on’ data vendors to ensure timely product delivery and innovation.
• Mentor and coach junior team members across the business.

Requirements

• Masters in a STEM field required, PhD preferred.
• Proficiency with a programming language (e.g., Python, R) and a database language (e.g., SQL).
• Must be organized, detail oriented and work effectively in a fast-paced environment.
• Strong data analysis and data modelling skills, good knowledge of statistics.
• Demonstrated ability to independently execute projects.
• Able to influence and unify the direct team and peers, as well as interact effectively as a strategic partner with senior management.
• Detailed understanding of how data science models are developed.
• Independent problem-solving and grit. Willingness to own one’s work, and confidence to push best practices. Strong attention to detail.
• Experience with healthcare or B2B/B2C marketing.

Benefits

• 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.