Data Scientist

ESP Engineered; Delhi, Gurgaon; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ESP Engineered is looking for a Data Scientist in Delhi, India. The ideal candidate will have over 5 years of experience in data science and strong programming skills in Python and SQL. Responsibilities include collecting and preprocessing data, developing models to solve business problems, and providing business insights through analytical recommendations. Familiarity with data visualization tools and cloud platforms is desirable. Join us to drive strategic decision-making using analytical insights.

Qualifications

• 5+ years of professional experience in data science, analytics, or a related role.
• Expertise in data manipulation and querying languages such as SQL.
• Hands-on experience with statistical modeling and predictive analytics.

Responsibilities

• Collect, clean, and preprocess large datasets.
• Develop and validate predictive models and machine learning algorithms.
• Translate analytical results into actionable business recommendations.

Skills

Data Science

Machine Learning

Statistical Modeling

Python

R

SQL

Data Visualization

Education

Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics

Tools

Tableau

Power BI

AWS

GCP

Hadoop

Spark

Job description

• Collect, clean, and preprocess large structured and unstructured datasets.
• Develop and validate predictive models, machine learning algorithms, and statistical frameworks that solve business problems (e.g., churn prediction, user segmentation, personalization).
• Apply advanced statistical techniques and data mining methods to uncover patterns, insights, and opportunities.

Business Insight & Strategy

• Translate analytical results into actionable business recommendations for stakeholders.
• Work closely with product and marketing teams to define KPIs and measurement frameworks that drive performance.
• Communicate complex analytical concepts clearly to non‑technical audiences.
• Collaborate with Engineering teams to productionize models and ensure reliable deployment of analytics solutions.
• Monitor model performance, conduct error analysis, and iterate to improve accuracy and robustness.
• Provide technical guidance and mentorship to junior data scientists and analysts.
• Partner with cross‑functional teams to integrate data science capabilities into product workflows and strategic planning.

Data Infrastructure & Best Practices

• Contribute to the development of scalable data pipelines and analytics tools.
• Promote best practices in data quality, documentation, and reproducibility.

Qualifications & Skills

• 5+ years of professional experience in data science, analytics, or a related role.
• Strong programming skills in Python, R, or similar languages for data analysis and modeling.
• Expertise with data manipulation and querying languages such as SQL.
• Hands‑on experience with statistical modeling, machine learning techniques (classification, regression, clustering, etc.), and predictive analytics.
• Familiarity with data visualization tools like Tableau, Power BI, Matplotlib, or Seaborn to communicate insights.
• Experience with cloud platforms and big data technologies (e.g., AWS, GCP, Hadoop, Spark) is a plus.
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Excellent communication skills with the ability to collaborate with both technical and business stakeholders.
• Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, Mathematics, or a related discipline is desirable but not mandatory.