We are looking for a Data Scientist (4+ years of experience) Pharma Industry Exp Needed
Job location : Princeton, New Jersey (Hybrid)
Requirements :
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Experience: 4+ years of experience in data science and machine learning, with a focus on model development and MLOps.
- Domain Expertise: Experience in pharma commercial analytics for at least 2+ years preferably in sales force targeting, patient journey predictions
- Technical Skills: Proficiency in programming languages such as Pyspark, Python or R, and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- MLOps Tools: Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Docker, Kubernetes) for model deployment and monitoring.
- Data Handling: Strong skills in SQL and experience in snowflake, Dataiku, Databricks is a plus.
Company Description:
Techaxis is a US-based firm that specializes in discovering, engaging, and placing top talent globally, for full-time or contract positions in leadership and mid to senior-level positions for companies in the technology, healthcare, energy, and education space. Techaxis Inc. is headquartered in Northern Virginia, USA. We are ranked #3294 in Inc 5000 and #105 in Inc 5000 DC Metro Series, SWaM, and WBE Certified technology talent search firm.
Equal Opportunities Employer:
Our clients provide equal opportunities to all its employees and all qualified applicants for employment, without regard to their race, caste, religion, color, ancestry, marital status, sex, age, nationality, disability, and veteran status. Employees of our client shall be treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. Employee policies and practices shall be administered in a manner that would ensure that in all matters equal opportunity is provided to those eligible and the decisions are merit-based.
