Data Science Developer

House Of Profile; Delhi; On-site; INR 900,000 - 1,500,000; Full time

Job summary

House Of Profile is seeking a Data Science Developer to turn raw data into actionable insights. You will work with data engineering, product, and business teams to build ML models and perform statistical analyses that drive real‑world solutions.

You will design and deploy predictive systems, visualize results for stakeholders, and maintain reproducible pipelines while keeping pace with AI research and industry trends.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, Math, Statistics, or related field.
• Strong Python skills (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Proficiency in SQL and NoSQL databases.
• Solid understanding of statistics and data modeling.
• Experience with Matplotlib, Seaborn, Power BI or Tableau.
• Cloud familiarity (AWS, GCP, Azure) is a plus.
• Version control with Git.

Responsibilities

• Collect, clean, and analyze large datasets from various sources.
• Design and develop machine learning algorithms and predictive models.
• Implement data visualization tools to communicate insights.
• Collaborate with software developers to deploy models into production.
• Continuously monitor and improve model performance over time.
• Conduct A/B testing and statistical analysis to guide product and business decisions.
• Stay updated with the latest research and industry trends in data science and AI.
• Document solutions and maintain reproducible pipelines for analysis and model deployment.

Skills

Python

SQL

Statistics

Machine Learning

Pandas/Numpy

TensorFlow/PyTorch

Data Visualization

NoSQL

Git

Cloud platforms

Education

Bachelors or Masters in CS/Data Science/Math/Statistics

Tools

Spark

Hadoop

Matplotlib/Seaborn

Power BI/Tableau

Job description

We are looking for a skilled Data Science Developer who is passionate about turning raw data into meaningful insights. You will work closely with our data engineering, product, and business teams to develop machine learning models, perform statistical analyses, and build intelligent systems that solve real-world problems.

Key Responsibilities:

• Collect, clean, and analyze large datasets from various sources.

• Design and develop machine learning algorithms and predictive models.

• Implement data visualization tools to communicate data insights effectively.

• Collaborate with software developers to integrate models into production systems.

• Continuously monitor and improve model performance over time.

• Conduct A/B testing and statistical analysis to guide product and business decisions.

• Stay updated with the latest research and industry trends in data science and AI.

• Document solutions and maintain reproducible pipelines for analysis and model deployment.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

• Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

• Proficiency in SQL and working knowledge of NoSQL databases.

• Solid understanding of statistics, probability, and data modeling.

• Experience with data visualization tools such as Matplotlib, Seaborn, or Power BI/Tableau.

• Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.

• Knowledge of version control systems like Git.

Preferred Qualifications:

• Experience working with real-time data pipelines and big data frameworks (e.g., Spark, Hadoop).

• Background in NLP, Computer Vision, or Deep Learning.

• Contributions to open-source projects or Kaggle competitions.

What We Offer:

• Competitive salary and performance incentives

• Opportunities to work on cutting-edge technologies

• A collaborative and flexible work environment

• Career growth and skill development programs