Data Scientist (Forecasting & Analytics)

Aspyra Hr Services; Gurugram District, Bengaluru, Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Aspyra Hr Services is seeking a Data Scientist with 3+ years of experience to develop and deploy predictive models addressing business problems. You will work with Python and SQL to deliver data-driven insights.

Responsibilities include building forecasting and time-series models (ARIMA), applying XGBoost and other ML algorithms, performing EDA, feature engineering, and model evaluation, and collaborating with stakeholders to drive measurable outcomes.

Qualifications

• 3+ years of hands-on data science experience.
• Strong Python and SQL programming skills.
• Experience with XGBoost, regression, time series.
• Experience building forecasting and time-series models (ARIMA).
• Ability to translate business needs into insights.

Responsibilities

• Develop and deploy predictive and statistical models for business problems.
• Build forecasting and time-series models using ARIMA and related techniques.
• Perform EDA, feature engineering, model selection, validation, and performance tuning.
• Apply XGBoost, regression and other ML algorithms to solve analytical problems.
• Translate business requirements into data-driven insights and actionable recommendations.
• Collaborate with business and analytics stakeholders to drive measurable outcomes.

Skills

Python

SQL

XGBoost

Regression

Classification

Decision Trees

Random Forest

ARIMA

Forecasting

Time Series

Statistical Modeling

Hypothesis Testing

Feature Engineering

Model Evaluation

EDA

Predictive Analytics

Pandas

NumPy

Scikit-learn

Statsmodels

Tools

Pandas

NumPy

Scikit-learn

Statsmodels

Job description

Role: Data Scientist
Experience: 3+ Years
Location: PAN India

Type: Full Time

Mandatory Skills

• Programming: Python, SQL
• Machine Learning: XGBoost, Regression, Classification, Decision Trees, Random Forest
• Time Series: ARIMA, Forecasting, Time Series Analysis
• Statistics: Statistical Modeling, Hypothesis Testing, Feature Engineering, Model Evaluation
• Analytics: Exploratory Data Analysis (EDA), Predictive Analytics, Business Analytics
• Libraries: Pandas, NumPy, Scikit-learn, Statsmodels

Role & Responsibilities

• Develop and deploy predictive and statistical models for business problems.
• Build forecasting and time-series models using ARIMA and related techniques.
• Perform EDA, feature engineering, model selection, validation, and performance tuning.
• Apply XGBoost, regression and other ML algorithms to solve complex analytical problems.
• Translate business requirements into data-driven insights and actionable recommendations.
• Collaborate with business and analytics stakeholders to drive measurable outcomes.

Key Requirement

Strong hands-on experience in Python + SQL + XGBoost + Regression + Time Series + ARIMA + Forecasting, with a strong background in Core Data Science / Analytics.