Data Scientist

Scaleupally

4 - 5 years

6 - 7 Lacs

noida

Posted:Just now| Platform:

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Skills Required

data analysis data science gcp machine learning roc medical insurance data visualization forecasting sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Collaborate with cross-functional teams and clients to define data-driven solutions to real-world business problems.
Design and develop machine learning models (classification, regression, clustering, recommendation systems, etc.) using structured and unstructured data.
Conduct thorough exploratory data analysis (EDA) and statistical testing to identify patterns, trends, and actionable insights.
Perform feature engineering , data transformation, and selection to optimize model performance.
Evaluate, validate, and fine-tune models using techniques like cross-validation, A/B testing, and performance metrics (e.g., F1-score, ROC-AUC, RMSE).
Prepare end-to-end pipelines for model development, training, validation, and testing using Python and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow).
Deploy ML models to production using Flask , FastAPI , or cloud-based solutions (e.g., Azure ML, AWS Sagemaker, GCP AI Platform).
Monitor model performance post-deployment and implement re-training strategies as needed.
Work on NLP, computer vision , or time-series forecasting projects as per client requirements.
Stay up to date with the latest developments in Data Science, ML, and AI, and proactively suggest innovative solutions for business problems.
Create clear documentation and present complex model outputs and insights in a simple, interpretable manner to both technical and non-technical stakeholders.
Contribute to the standardization of data science frameworks, reusable assets, and best practices across projects.
Requirements

4 to 5 years of hands-on experience in a Data Scientist role

Strong proficiency in Python Libraries required for ML (NumPy, Pandas, Scikit-learn, Tensorflow, Pyspark etc.)

Good experience with SQL and working with relational databases

Experience in building and evaluating predictive models and other machine learning models (supervised and unsupervised learning etc.)

Knowledge of EDA, feature engineering , and data preprocessing

Experience with Data Visualization - Power BI , Tableau , or Python-based visualization libraries

Experience working on cloud platforms (Azure, AWS, or GCP) is preferred

Familiarity with model deployment techniques (Flask, FastAPI, Docker, MLflow)

Strong communication skills and experience working in client-facing environments

Ability to manage multiple projects and meet tight deadlines

Benefits

Working hours: 10:00 AM 7:00 PM

Working days: 5 days a week (plus 1st & 3rd Saturdays working)

Medical Insurance coverage for employees

Provident Fund (PF) facility

Quarterly parties and yearly outings/trips for team bonding

Regular check-ins with leadership for growth and feedback

Recognition awards to celebrate high performance

Fun activities and team engagement sessions throughout the year

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