Data Scientist I- Hyderabad (Hybrid)- Second Shift

Syneos Health; India; Hybrid; INR 900,000 - 1,200,000; Full time

Job summary

Syneos Health in Hyderabad, India, seeks a Data Scientist I for a hybrid role with a second shift. You will design ML models, conduct experiments, and translate business questions into data-driven solutions.

Responsibilities include building data pipelines, analyzing results, and communicating insights to stakeholders. Collaboration with cross-functional teams is essential for delivering impactful outcomes.

Qualifications

• Bachelor's or higher in data science, CS, statistics, or a related field.
• Experience designing and deploying ML models.
• Strong Python and SQL programming skills.
• Experience with data visualization and reporting tools.

Responsibilities

• Design and implement ML models to solve business problems.
• Analyze data and interpret results to provide insights.
• Develop and maintain data pipelines ensuring data quality.
• Collaborate with cross-functional teams to translate needs into solutions.
• Present findings through reports and dashboards.

Skills

Python

SQL

Data Visualization

Machine Learning

Data Analysis

Communication

Team Collaboration

Cloud Platforms

Big Data

Experimentation

Education

Bachelor's in Data Science

Master's preferred

Tools

Pandas

NumPy

Scikit-Learn

TensorFlow

Job description

Data Scientist I - Hyderabad (Hybrid) - Second Shift

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 delivering-for each other, for our customers, and ultimately for the people who rely on the services we support.

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 someone's 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

Job Summary

Under guidance from senior team members, manage data-driven projects applying statistical techniques and machine learning algorithms to solve complex business problems. This role is responsible for designing and conducting experiments, interpreting data trends, and presenting actionable insights to stakeholders. Collaboration with cross-functional teams to understand business needs and translate them into technical solutions is a key aspect of this role.

This role will work a hybrid work schedule. Candidates should be available to work 2- 3 days a week in our Hyderabad, India office space. The work shift will be 2 pm- 11 pm IST.

Job Responsibilities

• Design and implement machine learning algorithms to address business problems.
• Conduct in-depth data analysis and interpret results to provide actionable insights.
• Develop and maintain data pipelines, ensuring data quality and consistency.
• Interact with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Communicate findings through detailed reports, dashboards, and presentations to stakeholders.
• Work on unique issues where analysis of situations or data requires an evaluation of intangibles.
• Work as part of a team to solve open-ended questions in support of innovation efforts.

Qualification Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Master's degree preferred.
• Experience with developing and deploying machine learning algorithms.
• Proficiency with programming languages such as Python and SQL.
• Experience with data visualization and reporting tools.
• Strong analytical skills and experience with advanced statistical methods.
• Must be organized, detail oriented, and work effectively in a fast-paced environment.
• Ability to communicate technical concepts to non-technical stakeholders.
• Experience leading data science projects (preferred).
• Knowledge of big data technologies and cloud platforms (preferred).
• Experience with data engineering tools and frameworks (preferred).

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the leg