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Data Scientist

4 months ago


Bangalore, Karnataka, India Rohini IT Consulting LLP Full time

Summary :

Do you have a passion for using data to improve healthcare? We're seeking a talented Data Scientist to join our close-knit, high-growth team. You'll leverage industry-leading healthcare data to develop valuable clinical insights for healthcare providers and life sciences companies. This agile role offers the excitement, pace, and development opportunities that come with working in a young, innovative company.

Responsibilities :

- Collaborate in a high-impact team to build predictive models using a cutting-edge healthcare data platform.

- Be a problem-solving thought leader, clearly defining challenges and recommending appropriate deep learning/machine learning techniques aligned with project goals.

- Develop and evaluate predictive models, providing clear written and verbal communication to both internal and external stakeholders.

- Keep management and leadership teams informed through timely updates.

Requirements :

- Degree in Data Science, Computer Science, Statistics, or a related field.

3-5 years of experience building predictive models, demonstrating expertise in :

- Deep learning techniques (CNNs, RNNs, GANs)

- Traditional machine learning/statistical methods (logistic regression, SVMs, random forests)

- Up-to-date knowledge of advancements in deep learning/machine learning and broader data science trends.

- Strong scripting and programming skills in Python (required), R, or similar languages.

- Prior healthcare industry knowledge (medical and pharmaceutical) is a plus.

- Experience building models from scratch and handling structured/unstructured data.

- Excellent communication (written and verbal), interpersonal skills, and a talent for fostering :

- Collaborate in a high-impact team to build predictive models using a cutting-edge healthcare data platform.

- Be a problem-solving thought leader, clearly defining challenges and recommending appropriate deep learning/machine learning techniques aligned with project goals.

- Develop and evaluate predictive models, providing clear written and verbal communication to both internal and external stakeholders.

- Keep management and leadership teams informed through timely updates.

Requirements :

- Degree in Data Science, Computer Science, Statistics, or a related field.

- 3-5 years of experience building predictive models, demonstrating expertise in:

- Deep learning techniques (CNNs, RNNs, GANs)

- Traditional machine learning/statistical methods (logistic regression, SVMs, random forests)

- Up-to-date knowledge of advancements in deep learning/machine learning and broader data science trends.

- Strong scripting and programming skills in Python (required), R, or similar languages.

- Prior healthcare industry knowledge (medical and pharmaceutical) is a plus.

- Experience building models from scratch and handling structured/unstructured data.

- Excellent communication (written and verbal), interpersonal skills, and a talent for fostering collaboration.

(ref:hirist.tech)