Job Description

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