BioSpace · 4 days ago
Sr. Data Science Engineer
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Responsibilities
Advanced analytics knowledge of best-in-class data science methodologies, deep understanding of AI/ML space, proven track record of solving business problems using data science and ability to work with business and cross functional teams to deliver and execute complex analytics problems.
Develop curated datasets using Dataiku or similar tools like Alteryx per business use cases and facilitate self-service analytics.
Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.
Exceptional analytical skills on complex datasets and experience solving ambiguous problems using data with interest to establish robust measurement frameworks.
Proven track record of leveraging data to deliver business value and present data-driven insights to senior leaders.
Explore and extract data from multiple sources and analyze it to discover trends and patterns, create meaningful insights and apply strong knowledge of data science for making informed decisions based on data insights.
Design/Develop data visualizations to effectively communicate data findings to both technical and non-technical audiences.
Develop processes and tools to monitor and analyze model performance and data accuracy and lead the advanced analytics framework through AI/ML.
Establish and follow data science best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance.
Serve as internal SME on Dataiku platform and drive the self-service COE with office hours training and establish data governance around the curated datasets and metrics, and best practices on taxonomy, and other.
Qualification
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Required
Bachelor's Degree with 7 years of experience; masters degree with 6 years experience; or PhD with 3 years of experience.
5+ years hands-on working experience in using data science framework and knowledge of using all the statistical or AI/ML learning models and recipes to address business use cases.
5+ years of hands-on experience in advanced SQL, Python, or R.
3+ years of hands-on experience with Data Prep tools like Dataiku or Alteryx, and Tableau.
3+ years of hands-on experience with Data Visualization tools like Power BI and Tableau.
3+ years of hands-on experience with cloud data warehouses like Snowflake or Amazon RedShift.
Experience in running user training sessions and building a business power user community.
Excellent oral and written communication skills, analytical skills, and stakeholder engagement.
Experience in Data mining, Data discovery, building curated data sets, insight generation, advanced analytics, and data science.
Preferred
Experience with Life Sciences Commercial Pharma and Sales Operations data, including insights into sales is a plus.
Consulting experience in Data science and Advanced Analytics domain.
Familiarity with Natural Language Processing (NLP) techniques, Large Language Model (LLM) applications, and generative AI technologies.
Open to remote anywhere in the United States.
Company
BioSpace
BioSpace is the leading online community for industry news and careers for life science professionals.
Funding
Current Stage
Growth StageTotal Funding
$10M2000-08-24Series B· $10M
Recent News
2024-05-31
2024-05-05
2024-04-06
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