Sr Data Scientist (Causal Ml) - ELM855

Sr Data Scientist (Causal Ml) - ELM855

**Description**

**JOB TITLE: Causal Machine Learning 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**:
**JOB RESPONSIBILITIES**:





- Design and implement statistical models to identify and quantify causal effects, enhancing our understanding of the key drivers behind business outcomes.
- Collaborate with stakeholders to formulate relevant business questions that can be addressed through causal analysis, translating complex data into actionable strategies.
- Develop and deploy machine learning algorithms that integrate causal inference, ensuring that models are both accurate and interpretable.
- Conduct robustness checks and sensitivity analyses to validate the assumptions and stability of causal models.
- Stay updated with the latest research and advancements in causal inference and machine learning, integrating innovative methods and tools into our data science practices.
- Communicate findings and methodologies effectively to both technical and non-technical audiences,



ensuring that insights drive strategic business decisions.
**Qualifications**

**QUALIFICATION REQUIREMENTS**
- A Master's degree or PhD in Statistics, Data Science, Economics, or a related field, with a strong focus on causal inference or related methods.
- Proficiency in programming languages such as Python, with extensive experience using libraries and frameworks that support causal analysis (e.g., DoWhy, CausalML).
- A strong analytical mindset with the ability to tackle complex problems, test hypotheses, and handle data ambiguities.
- Excellent communication skills, with the capability to articulate the value of causal insights to enhance business strategies.
**Tech Stack**:

- Python
- Causal inference libraries (e.g., DoWhy, CausalML)
- Machine Learning frameworks (scikit-learn, PyTorch)
- Data visualization tools (matplotlib, seaborn)




- 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._





**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.
**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 i

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