Data Scientist (Time Series Forecasting) - US based AI Solution firm - Remote

Hiring for

A US-based, AI-first data solutions company founded by seasoned technology leaders.

Role

Data Scientist

Positions

4

Experience

5 to 7 years

Location(s)

Remote (Global), Chennai

Type

On-site / Permanent

Salary

Up to INR 20 LPA (Based on fitment)

Notice Period

Immediate to 15-20 Days

About the Role

We are looking for a highly skilled

Data Scientist

with strong expertise in

Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics

. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

Design, develop, and deploy Machine Learning models for business-critical use cases.

Build and optimize traditional ML models such as

Linear Regression

Logistic Regression

Decision Trees

Random Forest

Gradient Boosting (XGBoost, LightGBM, CatBoost)

Support Vector Machines

Clustering Algorithms

Develop forecasting solutions using

ARIMA / SARIMA

Prophet

Exponential Smoothing

Time-Series Regression Models

Perform exploratory data analysis (EDA), feature engineering, and data validation.

Evaluate model performance using appropriate statistical and business metrics.

Work with structured and semi-structured datasets from multiple sources.

Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.

Build scalable data pipelines and support model deployment in production environments.

Monitor model performance, identify data drift, and implement model retraining strategies.

Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.

5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

Machine Learning

Strong understanding of supervised and unsupervised learning algorithms.

Experience with ensemble methods and advanced ML techniques.

Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

Strong understanding of

Time-Series Analysis

Forecasting Techniques

Statistical Inference

Hypothesis Testing

Probability Distributions

A/B Testing

Programming

Advanced proficiency in Python.

Experience with

Pandas

NumPy

Scikit-learn

Statsmodels

XGBoost / LightGBM

Prophet

Data & SQL

Strong SQL skills with experience in complex queries and performance optimization.

Experience working with large-scale datasets.

Visualization

Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.

Cloud & MLOps (Preferred)

Exposure to AWS, Azure, or GCP.

Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

Strong analytical and problem-solving skills.

Excellent communication and stakeholder management abilities.

Ability to work independently in a fast-paced environment.

Strong business acumen and data-driven decision-making mindset. .