Syneos Health is hiring for a fresher entry level data scientist job in India

Position:

• Data Scientist II

Company:

• Syneos Health

Location:

• India – Asia Pacific – Home-Based

Job Type:

• Full-time

Job Mode:

• Remote

Job Requisition ID:

• 24003966

Years of Experience:

• 0-3 yeaars
  

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Company Description:

• Syneos Health® is a premier organization specializing in fully integrated biopharmaceutical solutions, aimed at accelerating the success of its customers.
• With operations spanning over 110 countries, Syneos Health operates as a global leader in the biotechnology and pharmaceutical sectors, harnessing a team of more than 10,001 employees.
• Syneos Health combines unique clinical, medical, and commercial insights to deliver data-driven solutions that align with the complexities of the modern healthcare market.
• The company's mission is to enhance healthcare outcomes by using cutting-edge technologies, business practices, and a deep understanding of patient and physician behavior.
• Syneos Health prides itself on fostering a culture that values diversity, equity, and inclusion. They aim to create a positive impact on colleagues, customers, patients, communities, and the environment.
• Through an inclusive corporate environment, the company encourages innovation and collaboration, creating meaningful opportunities for career growth and professional development.
• Their commitment to the continuous improvement of healthcare drives their focus on building long-term partnerships with their clients, who include global leaders in biotechnology and pharmaceuticals.
• The company’s robust culture emphasizes caring for colleagues and empowering teams to bring valuable therapies to patients faster, improving the lives of people worldwide.

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Profile Overview:

• As a Data Scientist II, your primary role is to support Syneos Health's business objectives by building and scaling cutting-edge data science solutions.
• You will leverage AI, machine learning, and advanced analytics to derive insights and solve complex business problems.
• Working in collaboration with other data scientists and technical peers, you will prototype machine learning models to address these challenges with moderate levels of direction.
• The position requires strong problem-solving skills, iterative thinking, and an ability to effectively communicate technical findings to both technical and non-technical audiences.
• The successful candidate will contribute to exploratory data analysis and feature engineering processes, uncovering valuable insights and translating them into actionable business strategies.
• You will work independently but also demonstrate an ability to collaborate, showing initiative in learning and adapting to new techniques and methodologies.
• With a focus on machine learning algorithms, the role requires proficiency in both supervised and unsupervised learning, causal inference, and statistical analysis to improve business outcomes.
• The ideal candidate should be comfortable handling large datasets, applying ML techniques, and communicating findings with a strong attention to detail.
• Prior experience in the healthcare sector, pharmaceutical analytics, or marketing resource optimization will be an added advantage.

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Qualifications:

• Technical Skills:

  • Proficiency in programming languages such as Python, along with experience using data manipulation and visualization libraries such as Pandas, Matplotlib, and Seaborn.
  • Hands-on experience with machine learning frameworks like Scikit-learn and PyCaret.
  • Strong understanding of both supervised and unsupervised machine learning algorithms, including their practical applications.
  • Ability to design, develop, and deploy data science models for various business use cases.
  • Experience with causal inference methodologies, enabling deep insights into the relationships between data variables.

• Machine Learning Expertise:

  • Proficiency in traditional machine learning techniques, including predictive modeling, recommender systems, and generating actionable insights.
  • Experience with large datasets and performing feature engineering to enhance model performance.
  • Understanding of statistical methods and the ability to conduct exploratory data analysis to identify meaningful patterns.

• Analytical Skills:

  • Strong statistical analysis skills and familiarity with complex data manipulation techniques.
  • Ability to identify key insights and trends from large datasets and communicate them effectively to non-technical audiences.
  • Demonstrated ability to iterate and adapt based on findings, showcasing a solutions-oriented mindset.

• Work Experience:

  • Previous work in healthcare analytics, campaign measurement, marketing analytics, or resource optimization in the pharma domain is highly advantageous.
  • Relevant experience in building machine learning models and using data science to solve business problems independently is advantageous.
    

• Soft Skills:

  • Independent problem-solving skills, with a strong sense of ownership and willingness to push best practices.
  • Excellent attention to detail, ensuring high-quality and reliable outputs in model development.
  • Strong communication skills to engage with both technical teams and non-technical stakeholders.

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Additional Info:

• Team Collaboration:

  • As a Data Scientist II, you will work closely with technical peers to solve business challenges using data-driven techniques.
  • You will collaborate with cross-functional teams, including marketing, sales, and clinical teams, to align data science initiatives with overall business goals.

• Learning & Development:

  • Syneos Health offers a collaborative environment that encourages continuous learning and professional growth.
  • The company provides ample opportunities to explore new modeling techniques, improve technical skills, and apply advanced analytics to real-world problems.
  • Employees are encouraged to attend workshops, conferences, and training sessions to stay updated on the latest trends and innovations in data science and machine learning.

• Inclusivity & Diversity:

  • Syneos Health is committed to building a diverse and inclusive workforce, offering equal opportunities for all employees.
  • The company encourages candidates from diverse backgrounds to apply, including those with transferable skills from different industries or roles.
  • Syneos Health actively promotes an inclusive environment where everyone’s contributions are valued and respected.

• Career Advancement:

  • Syneos Health fosters a supportive environment for career advancement. You will have the chance to work on high-impact projects, enabling you to make meaningful contributions and grow in your role.
  • The company provides opportunities for employees to explore leadership roles and take on additional responsibilities as they advance in their careers.

• Talent Network:

  • Even if candidates are not ready to apply for this position, they are encouraged to join Syneos Health’s Talent Network to stay informed of future job openings and career opportunities.

Please click here to apply.

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