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Sr Data Scientist

2+ years
Not Disclosed
10 Dec. 1, 2024
Job Description
Job Type: Full Time Education: B.Tech./M.Tech./BCS 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

The Senior Data Scientist position at Syneos Health is a critical role within their Technology and Intelligent Solutions team, designed to provide high-quality data science solutions and innovative products that align with business goals. Below is an overview of the role:


Position Overview

Location: Home-Based, India-Asia Pacific
Updated: November 20, 2024
Job ID: 24006261

As a Senior Data Scientist, you will leverage your deep knowledge of statistical models, machine learning (ML), deep learning (DL), and natural language processing (NLP) to drive impactful solutions. You will also be involved in managing and leading teams, ensuring timely delivery of data science projects, and applying your skills to real-world applications.


Key Responsibilities

  1. Machine Learning & Statistical Modeling:

    • Apply statistical models, machine learning, and deep learning techniques such as classification, clustering, model optimization, and more.
    • Work on NLP, computer vision (CV), or other application areas, developing real-world machine learning models.
  2. Programming & Development:

    • Utilize Python, C/C++, and R for developing machine learning models.
    • Implement ML/DL algorithms using toolkits like Scikit-learn, NLTK, spaCy, TensorFlow, Keras, and PyTorch.
    • Focus on optimizing code for production environments, ensuring runtime and memory efficiency.
  3. Cloud & Data Engineering:

    • Work with cloud environments like AWS (Lambda, S3, SageMaker, NoSQL, etc.) and Hadoop.
    • Use Spark MLib and other data visualization tools for deployment.
  4. Leadership & Team Management:

    • Lead and manage a data science team, ensuring deadlines and milestones are met while fostering collaboration.
  5. Data Application & Forecasting:

    • Implement forecasting and statistical models.
    • Provide insights through data analysis and help refine business processes based on findings.

Qualifications

  • Technical Skills:

    • Strong programming skills in Python, C/C++, or R.
    • Expertise in machine learning and deep learning frameworks such as Scikit-learn, TensorFlow, Keras, PyTorch.
    • Hands-on experience with NLP and NLU libraries like NLTK, Spacy, and Flair.
    • Experience with cloud tools like AWS, Azure, and deployment environments (e.g., Docker, Git).
  • Additional Experience:

    • Proven experience in engineering and data science deployment, including working with distributed systems and large-scale datasets.
    • Strong problem-solving and analytical skills, with a focus on real-world applications of ML/DL models.
  • Communication Skills:

    • Strong verbal and written communication skills, capable of presenting complex data findings clearly to a range of audiences.

Why Syneos Health?

  • Culture:
    Syneos Health promotes a culture where you can thrive and develop, with a commitment to career growth, diversity, and a supportive work environment.

  • Benefits:
    Includes a company car or allowance, health benefits (medical, dental, vision), 401(k) match, stock purchase plan, and flexible paid time off (PTO).


Application Information

If you are passionate about data science and want to be part of a leading biopharmaceutical solutions organization, Syneos Health encourages you to apply for this opportunity. Alternatively, you can join their Talent Network to stay connected for future opportunities.