Finding great talent globally comes at the expense of time and complexity. Global vetting, low selection ratio, lower offer acceptance rate, long notice periods, multiple offers and local compliances.

The list is long.

Well, no more. Deploy a remote team in under 3 days with our bench of 200+ meticulously selected, pre-recruited (not just vetted) experienced remote software developers trained in full-stack product development in our in-house projects. 

40+ companies across 3 countries have chosen us for their complex project requirements

Our full-stack developers specialise in 8+ technology stacks:

MERN
MEAN
Python dominant full-stack
Java dominant full-stack

We have a special emphasis on 'product development'. To enable this, every developer in TGS maintains a 360 degree understanding of product development with knowledge of server-less architecture, Microfrontend design pattern, version control softwares, generative AI, TDD and more.

To start building your team today, please drop a note to: sales@thegeeksquad.tech

Team Geek Solutions

Job Description – Data Scientist with Machine Learning Position: Data Scientist with Machine Learning Experience: 5+ Years Joining Preference: Immediate Joiners Preferred 

Job Summary:
We are seeking an experienced Data Scientist with strong Machine Learning expertise to design, build, deploy, and optimize predictive models that solve business problems. The ideal candidate should have hands-on experience in statistical modeling, forecasting, MLOps, cloud platforms, and Python-based ML frameworks. 
Key Responsibilities • &nbsp; &nbsp;Design, develop, test, and deploy Machine Learning models for business use cases. • &nbsp; &nbsp;Build forecasting models using ARIMA, SARIMA, and Prophet. • &nbsp; &nbsp;Develop predictive analytics and statistical models to improve decision-making. • &nbsp; &nbsp;Perform data preprocessing, feature engineering, model training, validation, and optimization. • &nbsp; &nbsp;Write efficient Python code using Pandas, NumPy, and Scikit-learn. • &nbsp; &nbsp;Work with PostgreSQL to extract, transform, and analyze data. • &nbsp; &nbsp;Implement MLOps practices for model deployment, monitoring, and versioning. • &nbsp; &nbsp;Build and optimize models using Random Forest, XGBoost, LightGBM, and CatBoost. • &nbsp; &nbsp;Deploy and manage ML solutions on AWS, Azure, or GCP. • &nbsp; &nbsp;Collaborate with cross-functional teams to translate business requirements into AI/ML solutions. 
Required Skills • &nbsp; &nbsp;Machine Learning model development and deployment • &nbsp; &nbsp;Forecasting: ARIMA, SARIMA, Prophet • &nbsp; &nbsp;Predictive Analytics &amp; Statistical Modeling • &nbsp; &nbsp;Python (Pandas, NumPy, Scikit-learn) • &nbsp; &nbsp;PostgreSQL • &nbsp; &nbsp;MLOps • &nbsp; &nbsp;Random Forest, XGBoost, LightGBM, CatBoost • &nbsp; &nbsp;Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP) 
Preferred Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field. 
Soft Skills • &nbsp; &nbsp;Strong analytical and problem-solving skills • &nbsp; &nbsp;Excellent communication and collaboration • &nbsp; &nbsp;Ability to work independently in a remote environment • &nbsp; &nbsp;Good stakeholder management and presentation skills