Lead Data Scientist

Description

JOB TITLE:    Lead Data Scientist

Syneos Health is the only fully integrated biopharmaceutical solutions organization purpose-built to accelerate customer success. We lead with a product development mindset, seamlessly connecting our capabilities to add high-value insights to speed therapies to patients and provide practical value to help our customers achieve their objectives.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 30,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• #SyneosHealthLife means we’re committed to our Total Self-culture – where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person’s unique contributions make a difference.
• We believe our success is a direct result of the people who are driving it – you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you. That’s why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.

JOB SUMMARY

We are seeking a seasoned Lead Data Scientist to guide talented data science teams at Syneos Health. In this critical role, you will balance hands-on technical work with project management responsibilities to drive the development and execution of our data-driven projects. Your expertise in both machine learning and optimization techniques will ensure the delivery of innovative and efficient solutions that meet our business objectives. This leadership position requires a strategic thinker who can oversee projects while fostering a collaborative environment that encourages innovation.

JOB RESPONSIBILITIES

- Lead and mentor a team of data scientists in the development of machine learning models and optimization algorithms, ensuring both technical excellence and alignment with business goals.

- Manage the entire lifecycle of data science projects, from problem definition and data collection to model development, evaluation, and deployment.

- Collaborate with cross-functional teams, including business stakeholders and IT, to define project scopes, set timelines, and deliver high-impact data science solutions.

- Apply frameworks and processes to streamline operations and improve the efficiency of data science workflows.

- Stay abreast of the latest developments in data science, incorporating new technologies and methodologies to enhance project outcomes.

- Communicate complex data-driven insights and recommendations to senior management, driving strategic decision-making based on rigorous analysis.

Qualifications

QUALIFICATION REQUIREMENTS 

- A Master’s degree or PhD in Data Science, Computer Science, Operations Research, or a related field.

- Minimum of 5 years of experience in a data science role, with at least 2 years in a leadership or management position.

- Strong foundation in machine learning techniques and optimization algorithms, with a proven track record of applying these skills to solve real-world business problems.

- Experience managing end-to-end data science projects, including stakeholder management and team leadership.

- Proficiency in programming languages and tools used in data science (Python, SQL) and familiarity with machine learning frameworks (TensorFlow, PyTorch).

- Excellent organizational, leadership, and communication skills, capable of leading a team and interacting effectively with varied stakeholders.

Tech Stack:

- Python, SQL

- Machine Learning frameworks (TensorFlow, PyTorch)

- Optimization libraries (PuLP, Pyomo)

- MS Azure

At  Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.  Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

The annual base salary (US Only) for this position ranges from $102,600 to $178,600.  The base salary range represents the anticipated low and high of the Syneos Health range for this position.  Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos HealthOver 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.

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 legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.  The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

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