Data Scientist
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Key skills for this role
About the Role
EFICYENT is seeking a Data Scientist to design and implement machine learning models, extract insights from complex datasets, and collaborate with cross-functional teams. The role requires 1-6 years of experience and strong proficiency in Python and SQL.
Key Skills for This Role
Responsibilities
- Design, build, and validate machine learning and statistical models.
- Clean, preprocess, and analyze large structured and unstructured datasets.
- Translate business problems into data science solutions and measurable outcomes.
- Develop and maintain data pipelines in collaboration with engineering teams.
- Communicate findings and model performance clearly to technical and non technical stakeholders.
- Coordinate with senior data scientists and product teams to deploy models into production.
- Stay current with new tools, frameworks, and best practices in the field.
- Maintain accuracy, reproducibility, and quality standards across projects.
Requirements
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience)
- 1–6 years of experience in data science, machine learning, or analytics
- Strong proficiency in Python (NumPy, Pandas, Scikit learn) and SQL
- Solid understanding of statistical modeling, machine learning algorithms, and data structures
- Strong problem solving skills and ability to work with ambiguous, large scale data
- Ability to work independently in a remote setup
Full Job Posting
Role Overview
- We are looking for a motivated and analytical Data Scientist to join our team. The candidate will be responsible for designing and implementing machine learning models, extracting insights from complex datasets, and collaborating with cross functional teams to drive data informed decisions.
Key Responsibilities
- Design, build, and validate machine learning and statistical models.
- Clean, preprocess, and analyze large structured and unstructured datasets.
- Translate business problems into data science solutions and measurable outcomes.
- Develop and maintain data pipelines in collaboration with engineering teams.
- Communicate findings and model performance clearly to technical and non technical stakeholders.
- Coordinate with senior data scientists and product teams to deploy models into production.
- Stay current with new tools, frameworks, and best practices in the field.
- Maintain accuracy, reproducibility, and quality standards across projects.
Requirements
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience).
- 1–6 years of experience in data science, machine learning, or analytics.
- Strong proficiency in Python (NumPy, Pandas, Scikit learn) and SQL.
- Solid understanding of statistical modeling, machine learning algorithms, and data structures.
- Strong problem solving skills and ability to work with ambiguous, large scale data.
- Ability to work independently in a remote setup.
Preferred Skills
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Exposure to MLOps practices and model deployment (Docker, cloud ML platforms).
- Knowledge of NLP, computer vision, or time series forecasting.
- Experience presenting insights to business/leadership stakeholders.
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