Data Scientist

**Job Information**:
Date Opened
- 04/09/2025

Job Type
- Full time

Industry
- IT Services

Work Experience
- 3 - 6 years

Salary
- As per the company norms

City
- Noida

Province
- Uttar Pradesh

Country
- India

Postal Code
- 201301

**About Us**:

- At ScaleupAlly, we believe that technology improves all aspects of lives. That is why we are geared towards becoming a tech ally of great ideas. The aim is to be the remote in-house tech team of these ideas. We work with Start-ups, Founders, and Leaders around the globe with ideas of Web and App Development, Business Intelligence and Data Visualization. We achieve our aim by building the long-lasting dynamic teams made of the top talent across the globe managed by experienced in-house Technical Leads. At ScaleupAlly, we build, manage and care our distributed teams like no one else. It’s a whole new approach to make you rethink what your idea is capable of.
- 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