The Role
The Technical Lead will oversee data science projects focusing on machine learning and deep learning, with an emphasis on NLP and data pipeline development. Responsibilities include leading teams, guiding project execution, and collaborating with stakeholders to improve data-driven insights.
Summary Generated by Built In
- Experience: 8+ years of professional experience in data science, machine learning, and deep learning, with a strong focus on NLP and data pipeline development.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with NLP techniques and tools (e.g., spaCy, NLTK, Transformers).
- Strong knowledge of data pipeline tools and technologies (e.g., Apache Spark, Airflow, Kafka).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their machine learning services.
- Analytical Skills: Exceptional problem-solving skills with a demonstrated ability to derive insights from complex datasets.
- Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.
- Leadership: Proven track record of leading projects and mentoring team members.
Top Skills
Python
R
Scala
The Company
What We Do
emids is healthcare's digital transformation leader, delivering business and tech solutions that help payers, providers and tech-enablers maximize technology to deliver care better.
As a global partner headquartered in Nashville, TN, emids helps bridge the critical gaps in accessible, affordable, high-quality healthcare by providing advisory consulting services, custom application development, and data solutions. Services include EHR application deployment and management, analytics, data integration and governance, software development and testing, and business intelligence.
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