Ahmedabad, Gujarat, India
Information Technology
Full-Time
NexusLink Services India Pvt Ltd
Overview
Location : Ahmedabad
Experience : 4-6 years
Title : Data Scientist
Job Description
Primary Responsibilities :
Experience : 4-6 years
Title : Data Scientist
Job Description
Primary Responsibilities :
- Analyze large and complex datasets to identify trends, patterns, and insights.
- Develop and implement machine learning models for prediction, classification, and clustering tasks using Python libraries like scikit-learn, TensorFlow, or PyTorch.
- Perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions.
- Design and implement data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to communicate insights effectively.
- Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
- Build and deploy scalable data pipelines using Python and related tools.
- Stay up-to-date with the latest advancements in data science, machine learning, and Python libraries.
- Communicate complex data insights and findings to both technical and non-technical audiences.
- Proven experience as a Data Scientist or similar role.
- Strong programming skills in Python, with experience in relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques.
- Experience with data visualization using Python libraries (e.g., Matplotlib, Seaborn, Plotly).
- Ability to work with large datasets and perform data cleaning, preprocessing, and feature engineering.
- Strong problem-solving and analytical skills.
- Excellent communication and presentation abilities.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data science services.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of database technologies (SQL and NoSQL).
- Experience with deploying machine learning models into production.
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