Remote Data Scientist (PhD)

Description:

• The Data Scientist will manage the complete Model Development Life Cycle (MDLC), from problem definition to model deployment and monitoring.
• This role involves collaborating with cross-functional teams to deliver machine learning models that support business objectives and drive innovation.
• Responsibilities include defining and structuring data-driven problems, gathering and preprocessing data from multiple sources, and conducting exploratory data analysis (EDA).
• The Data Scientist will create, extract, and transform features to improve model performance and select appropriate machine learning models based on the problem at hand.
• Training models using tools like Scikit-learn, TensorFlow, or PyTorch is required, along with evaluating model performance and optimizing hyperparameters.
• The role also includes deploying models in a production environment and ensuring scalability and integration with existing systems.
• Post-deployment, the Data Scientist will monitor model performance, address model drift, and retrain models as needed.
• Clear and actionable insights will be provided through model interpretation techniques, and results will be presented to both technical and non-technical stakeholders.

Requirements:

• A PhD degree in Computer Science, Data Science, Statistics, Engineering, or a related field is required.
• Candidates must have 3+ years of experience in machine learning, statistical modeling, and data science.
• Proficiency in Python and SQL, along with experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Keras, is essential.
• Hands-on experience with model deployment tools such as Flask, Docker, Kubernetes, and cloud platforms like AWS, Azure, or Google Cloud is necessary.
• Strong knowledge of data preprocessing techniques, feature engineering, and exploratory data analysis is required.
• Experience with hyperparameter tuning techniques, such as Grid Search and Bayesian Optimization, is expected.
• Familiarity with model monitoring tools like MLflow, Prometheus, or Grafana is preferred.
• Excellent communication skills are necessary to translate technical results into actionable insights for stakeholders.
• Strong problem-solving skills and the ability to work on complex, data-driven projects are essential.

Benefits:

• The position offers a fully remote work environment within the United States.
• Employees will have the opportunity to work on innovative projects that drive business objectives.
• The role provides a chance to collaborate with cross-functional teams and enhance technical skills in machine learning and data science.
• Competitive salary and benefits package will be provided, although specific details are not mentioned.
• Opportunities for professional development and growth within the organization are available.