Data Scientist

Location:

Experience:

Department:

About the Role:

Data Scientist / AI & Machine Learning Specialist

You’ll work closely with cross-functional teams—product, marketing, engineering, and operations—to turn data into actionable insights, create AI-driven products, and optimize processes. This is an excellent opportunity for a candidate eager to grow in the fast-evolving field of artificial intelligence and contribute to impactful, real-world applications.

Key Responsibilities:

• Collect, clean, and process large structured and unstructured datasets from multiple sources.
• Develop and deploy

  machine learning models

  for predictive analytics, recommendation systems, and business optimization.
• Perform

  exploratory data analysis (EDA)

  to identify trends, patterns, and insights that can guide decision-making.
• Collaborate with business stakeholders to understand project objectives, define data requirements, and align analytics with business goals.
• Use advanced statistical methods, regression models, clustering, classification, and natural language processing (NLP) techniques.
• Build and automate end-to-end data pipelines and deploy models into production environments.
• Evaluate model accuracy and performance using relevant metrics, and continuously improve models through tuning and retraining.
• Create data visualizations and dashboards using Power BI, Tableau, or Python-based tools for business reporting.
• Stay updated on the latest AI/ML technologies, frameworks, and industry trends to continuously improve workflows.
• Communicate complex findings clearly to non-technical stakeholders, supporting strategic and operational decision-making.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• 2–4 years of professional experience in data analytics, data science, or AI/ML roles.
• Strong programming skills in

  Python

  (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or

  R

  .
• Proficiency in

  SQL

  and experience with relational databases.
• Solid understanding of

  machine learning algorithms

  , data preprocessing, and model evaluation techniques.
• Experience working with big data platforms (Hadoop, Spark, Databricks) is a plus.
• Knowledge of cloud-based environments such as

  AWS, Azure, or Google Cloud

  .
• Excellent problem-solving and analytical thinking skills.
• Strong communication and presentation abilities to explain insights and recommendations.
• Experience in data visualization tools like

  Tableau, Power BI

  , or

  Matplotlib/Seaborn

  .

What We Offer:

• Competitive compensation with performance-based incentives.
• Exposure to real-world AI/ML applications across industries.
• Collaborative, innovation-driven work environment in Gurugram.
• Access to cutting-edge tools, cloud infrastructure, and training opportunities.
• Career growth pathways into senior AI/ML and data engineering roles.
• A culture that values creativity, continuous learning, and data-driven innovation.

Why Join Us?

• As part of our data science team, you’ll have the freedom to explore cutting-edge AI solutions and implement them in real-world scenarios. Your work will directly impact how businesses use technology to make smarter decisions, enhance user experiences, and drive growth. If you’re curious, analytical, and passionate about artificial intelligence, this role will give you the opportunity to shape the digital future from our Gurugram office.