Sr Data Scientist

Syneos Health

3+ years

Not Disclosed

India

10 Nov. 29, 2024

Job Description

Job Type: Full Time Education: BCS/MCS/CSE Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Senior Data Scientist

Location: Syneos Health, Global

About Syneos Health

Syneos Health is a fully integrated global biopharmaceutical solutions organization committed to accelerating customer success. We focus on clinical development, medical affairs, and commercial strategies to address market needs. With a workforce of 29,000 employees across 110 countries, we put the customer and patient at the center of everything we do.

"Work Here Matters Everywhere."

Why Syneos Health?

We prioritize career development through ongoing training, mentorship, and peer recognition. Our Total Self culture values diversity, allowing employees to bring their authentic selves to work. We continue to innovate and build a company that is easy to work with and for, fostering an inclusive environment where all perspectives are valued.

Role Overview

The Senior Data Scientist within Technology and Intelligent Solutions plays a key role in delivering high-quality data science solutions and innovative products that drive business success. This role requires a blend of statistical, machine learning, and programming expertise to support the company’s data science initiatives.

Key Responsibilities

Data Science Solutions Development:
- Apply statistical models, machine learning techniques, and NLP (Natural Language Processing) for real-world applications.
- Design and implement forecasting and statistical models, optimizing for real-time problem-solving.
- Lead the development of advanced algorithms for classification, clustering, and model optimization.
Machine Learning & Deep Learning Expertise:
- Implement and optimize ML/DL models using tools like Scikit-learn, TensorFlow, Keras, and PyTorch.
- Use probability density functions (PDF) and cumulative distribution functions (CDF) to improve model predictions.
Programming & Engineering:
- Strong experience in programming languages such as Python, C/C++, and R.
- Develop and deploy machine learning models in cloud environments (AWS, Azure) and other platforms.
- Profile and optimize code for performance and memory efficiency in production environments.
Team Leadership & Collaboration:
- Lead and manage a team of data scientists, driving deadlines and project milestones.
- Collaborate with cross-functional teams to provide data-driven solutions that meet business goals.
Cloud & Data Engineering Tools:
- Experience with cloud platforms (AWS Lambda, SageMaker, NoSQL) and tools like Hadoop, Git, Spark MLib, and Docker.
- Utilize data visualization tools to effectively communicate insights.
Continuous Learning & Innovation:
- Stay current with advancements in data science, NLP, and machine learning techniques.
- Contribute to ongoing improvements in the development, deployment, and optimization of machine learning models.

Qualifications

Education & Experience:

Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or related field.
Proven experience in applying statistical and machine learning models to solve real-world problems.
Strong background in programming (Python, C/C++, R) and using ML/DL toolkits such as Scikit-learn, TensorFlow, PyTorch, and Keras.

Technical Skills:

Expertise in cloud computing environments (AWS, Azure) and data engineering tools.
Experience with NLP tools such as NLTK, spaCy, and Flair.
Familiarity with data visualization tools and Big Data frameworks like Hadoop and Spark MLib.

Additional Skills:

Excellent analytical and problem-solving skills.
Strong ability to lead teams and manage deadlines.
Experience in deploying models to production environments, optimizing for runtime and memory.
Ability to communicate complex data science concepts to both technical and non-technical stakeholders.

Why Work with Us?

Career Growth: Join a global leader in biopharmaceutical solutions with ample opportunities for development.
Innovative Environment: Work alongside experts, pushing the boundaries of data science and machine learning.
Comprehensive Benefits: Competitive salary, 401k match, health benefits, and flexible paid time off.
Impactful Work: Contribute to advancing therapies that change lives.

Apply Now to make an impact in the field of data science with Syneos Health and help shape the future of biopharmaceutical innovation.

At Syneos Health, we value diversity and inclusion. If your qualifications don’t perfectly align with this role, we encourage you to apply anyway. We consider transferable skills and encourage applicants to join our Talent Network for other opportunities.

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