Data Scientist
hace 4 semanas
Syneos Health is a leading biopharmaceutical solutions organization that accelerates customer success. We leverage our expertise in product development to deliver high-value insights, speed therapies to patients, and provide practical value to our customers.
Our team is dedicated to performing better every day, working together as one team, and being the best at what we do. We bring together talented experts across various 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**
- 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.
**Job Summary:**
Within Technology and Intelligent Solutions, our strength lies in the efficiency with which we deliver leading-edge products and support to those we serve. We're proud to set the standard for success in our industry. The Senior Data Scientist supports our business goals by providing timely delivery of high-quality data science solutions and innovative products.
**Key Responsibilities:**
• Strong understanding of distribution algorithms, probability density functions, and cumulative distribution functions.
• Excellent analytical and problem-solving skills.
• Deep knowledge of machine learning and deep learning techniques, including classification, clustering, and model optimization.
• Solid programming and engineering skills, including Python, C/C++, and experience with Azure, Git, and Docker.
**Qualifications:**
• Strong programming skills in Python, along with Pandas, NumPy, C/C++, or R, and experience with machine learning and deep learning toolkits such as Scikit-learn, NLTK, spaCy, TensorFlow, Keras, and PyTorch.
• Experience in engineering and deployment tools in cloud and other environments, including AWS, Hadoop, Git, Spark MLib, and data visualization tools.
• Ability to implement forecasting models and statistical models.
• Good understanding of machine learning and deep learning theoretical concepts and algorithms, with hands-on experience in implementing or improving algorithms.
• Experience in natural language processing and natural language understanding, including NLTK, Spacy, and Flair.
• Writing code for production environments and ability to profile code for optimizing runtime and memory.
**Benefits:**
We offer a comprehensive benefits program, including a company car or car allowance, health benefits, 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.
**Get to know Syneos Health:**
We've 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 over the past 5 years.
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.
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