Data Scientist - Commercial Analytics
Canada - Toronto
Applications have closed
Veeva Systems
Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 1,100 customers, ranging from the world's largest...We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.
Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day. Whether you choose to work remotely from home or work in an office - it’s up to you.
The Role
As a Data Scientist for the Commercial Analytics team, you will work with Veeva Engineers, Consultants, and fellow Data Scientists to support analysis and analytical data deliverables.
Your role will be to generate and own the mathematical and behavioral models that will help drive the generation of impactful insights and suggestions for our clients. Our ideal candidate is multi-talented, with the capabilities to develop statistical, machine learning, and optimization models but they are also able to be client-facing, to understand the business needs of our clients (both within and outside of Veeva), and present complex statistical and machine learning models to the stakeholders.
This is a great opportunity for someone who is excited about using their deep Data Science expertise to help shape the ML offerings of the Veeva business. This role is based in the Veeva Toronto Office - 20 Toronto St, Toronto, ON
What You’ll Do
- Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
- Design, develop and assess highly innovative models for clustering, anomaly detection, and more
- Build and run analysis of models and algorithms in order to assess performance and identify the best algorithms to present to customers
- Ensure models and algorithms support our customers and help them drive towards more intelligent and effective engagement with their customers
- Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning, and retrieval processes) on large data sets to identify trends
- Work closely with the data warehouse product team to ensure the architecture is effectively developed to support algorithms that are reproducible for many clients while being able to tailor said models for individual clients
- Build models to help our Business Consulting and Strategy teams work with customers on how to better understand healthcare behavior to improve patient outcomes
- Provide subject matter expertise and advice on model design, data collection, and/or model evaluation to technical and non-technical audiences
- Contribute to developing and executing the team’s research agenda, including writing white papers and presenting at conferences
- Collaborate with data engineers to access data and explain data requirements
- Collaborate with analytics consultants to communicate findings to senior leaders and business partners
- Communicate analyses and results, along with implications, to technical and non-technical audiences
- Demonstrate impeccable ethics and judgment when dealing with confidential data
- Share research insights both inside and outside the organization to become a thought leader in this space
Requirements
- Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science or other quantitative disciplines with at least 1+ year of relevant industry experience, or an equivalent M.S. with 4 years of relevant demonstrable research experience
- Advanced in-depth specialization and experience in data analysis techniques such as: classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning
- Proficient in R or Python
- Ability to manipulate large data sets and develop statistical models, and accurately determine cause and effect relationships
- Excellent SQL/Spark skills
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions, even in situations with non-standard problems
- Excellent oral and written communication skills with the ability to effectively explain complex problems and advocate technical solutions to other team members and clients
- Must be comfortable with changing requirements and priorities
- Must be results-oriented and able to move forward without complete information and with minimal supervision
Nice to Have
- Experience with commercial aspects of the Life Sciences industry
- Experience working with Software as a Service and/or enterprise products
- Experience with AWS
- Hands-on experience building models with deep learning frameworks (Tensorflow or similar)
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing AWS Classification Computer Science Consulting Data analysis Data Mining Deep Learning Economics Engineering Machine Learning Mathematics ML models Model design NLP Physics Python R Research Spark SQL Statistics TensorFlow Testing
Perks/benefits: Conferences
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs