Data Scientist, ML OPS @ Indegene | Jobright.ai
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Indegene · 5 hours ago

Data Scientist, ML OPS

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Health CareInformation Technology
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H1B Sponsor Likelynote
Hiring Manager
Amit Singh
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Responsibilities

We are looking for experienced data science professional, who can handle commercial analytics projects with proficiency. Additionally, domains expertise on Sales Force analytics or Payer analytics or Patient or digital analytics or Brand Performance analytics will be a value add
Model Development: Design, develop, and implement machine learning models through EDA, feature engineering and using a variety of algorithms (e.g., regression, classification, clustering, neural networks, ensemble methods)
MLOps: Establish and maintain MLOps practices to ensure seamless deployment, monitoring, and maintenance of ML models in production environments.
Model Evaluation: Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and efficiency.
Collaboration: Work closely with data engineers and business stakeholders to integrate ML models into applications and workflows.
Documentation: Document model development processes, assumptions, and results to ensure reproducibility and transparency.
Continuous Learning: Stay updated with the latest advancements in AI/ML including LLMs, MLOps, to continuously improve skills and knowledge.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningMLOpsModel DevelopmentPharma Commercial AnalyticsPysparkPythonRTensorFlowPyTorchScikit-learnMLOps ToolsSQLDockerKubernetesDataikuDatabricks

Required

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
8 + years of experience in data science and machine learning, with a focus on model development and MLOps.
Proficiency in programming languages such as Pyspark, Python or R, and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Docker, Kubernetes) for model deployment and monitoring.
Strong skills in SQL
Excellent analytical and problem-solving skills, with the ability to translate business problems into data science solutions.
Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.

Preferred

Experience in pharma commercial analytics for at least 2+ years preferably in sales force targeting, patient journey predictions
Experience in snowflake, Dataiku, Databricks is a plus

Company

Indegene

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Indegene enables global health care organizations address complex challenges and drive better health and business outcomes.

H1B Sponsorship

Indegene has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (20)
2022 (44)
2021 (32)
2020 (24)

Funding

Current Stage
Public Company
Total Funding
$200M
2024-05-13IPO· undefined
2021-02-03Private Equity· $200M

Leadership Team

T
Thierry Durand
Vice President Business Development and Customer Success Partner
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Company data provided by crunchbase
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