Senior Data Scientist
Innovaccer
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients
- Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
- Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations
- Proven ability to break down complex business problems into machine learning problems and design solution workflows.
- Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
- Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.
- Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.
Requirements
- Preferably Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
- 3+ years of experience in Data Science (healthcare experience will be a plus)
- Has proven experience in statistical and classical machine learning techniques and possess a customer-focused attitude through conversations and documentation
- Strong hands-on experience in Python - building enterprise applications along with optimization techniques.
- Proficiency in crafting and optimizing SQL queries [Experience with Snowflake preferred]
- Should have hands-on experience with deep learning frameworks.
- Pytorch
- HuggingFace transformers
- Deep experience in classical and new age NLP techniques - must have either trained or fine-tuned a transformer architecture from scratch. [Experience with T5 preferred]
- Understanding new age fine-tuning techniques like PEFT [experience with LoRA and QLoRA preferred]
- Has worked on distributed GPU training architectures
- Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques.
- Hands-on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker
- Good to have - Hands-on experience in API frameworks leveraging their capabilities for developing robust web applications. [Experience with either FastAPI or Django preferred]
- Good to have - Comfortable with AWS cloud technologies
Benefits
- Generous Paid Time Off: Recharge and relax with 22 days of fixed time off per year, in addition to company holidays—because we believe work-life balance fuels performance.
- Best-in-Class Parental Leave: Spend quality time with your growing family. We offer one of the industry’s most generous parental leave policies to support you during life’s most important moments.
- Recognition & Rewards: We celebrate wins—big and small. Get rewarded with monetary incentives and company-wide recognition for your impact and dedication. Your hard work won’t go unnoticed.
- Comprehensive Insurance Coverage: Stay covered with medical, dental, and vision insurance, plus 100% company-paid short- and long-term disability and basic life insurance. Optional perks include discounted legal aid and pet insurance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical techniquesclassical machine learningPythonSQLdeep learning frameworksNLP techniquestransformer architecturedistributed GPU trainingmodel explainability
Soft Skills
customer-focused attitudeproblem-solvingcommunicationcollaborationleadership
Certifications
Masters in Computer SciencePhD in relevant fields