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Data Scientist with Machine Learning

Role overview

Qualifications

  • Machine Learning model development and deployment
  • Forecasting: ARIMA, SARIMA, Prophet
  • Predictive Analytics Statistical Modeling
  • Python (Pandas, NumPy, Scikit-learn)

Responsibilities

  • Design, develop, test, and deploy Machine Learning models for business use cases
  • Build forecasting models using ARIMA, SARIMA, and Prophet
  • Develop predictive analytics and statistical models to improve decision-making
  • Perform data preprocessing, feature engineering, model training, validation, and optimization

Key facts

Hard skills

Other skills

  • Forecasting
  • Analytical Skills
  • Problem Solving
  • Communication
  • Collaboration
  • Presentations

About the company

Team Geek Solutions logo

Team Geek Solutions

IT Services & IT Consulting

Team Geek Solutions (TGS) is a global technology partner specializing in AI and Generative AI solutions, custom software development, and offshore/onshore talent optimization. With our office in Texas, we deploy skilled professionals across the US, without the need for visa sponsorship, and offer a comprehensive range of services tailored to the needs of industries like BFSI, Telecom, FinTech, Healthcare, and Manufacturing. Our services include: AI/ML Application Development and Gen AI Resource as a Service Cloud Migration & Application Modernization Custom Software Development with expertise in 40+ technologies Cybersecurity Audit & Compliance ServiceNow & Salesforce Customization Automated Hiring powered by Evaluate AI We also specialize in GCC (Global Capability Centers) through our Build-Operate-Transfer (BOT) model, helping companies scale globally while optimizing costs. Whether it’s talent acquisition, project acceleration, or cutting-edge AI solutions, we help businesses achieve operational efficiency and drive innovation. Let’s connect to explore how we can help your organization scale and thrive!

Company details

IndustryIT Services & IT Consulting
Company size51-200

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Job description

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
•    Design, develop, test, and deploy Machine Learning models for business use cases.
•    Build forecasting models using ARIMA, SARIMA, and Prophet.
•    Develop predictive analytics and statistical models to improve decision-making.
•    Perform data preprocessing, feature engineering, model training, validation, and optimization.
•    Write efficient Python code using Pandas, NumPy, and Scikit-learn.
•    Work with PostgreSQL to extract, transform, and analyze data.
•    Implement MLOps practices for model deployment, monitoring, and versioning.
•    Build and optimize models using Random Forest, XGBoost, LightGBM, and CatBoost.
•    Deploy and manage ML solutions on AWS, Azure, or GCP.
•    Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.

Required Skills
•    Machine Learning model development and deployment
•    Forecasting: ARIMA, SARIMA, Prophet
•    Predictive Analytics & Statistical Modeling
•    Python (Pandas, NumPy, Scikit-learn)
•    PostgreSQL
•    MLOps
•    Random Forest, XGBoost, LightGBM, CatBoost
•    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
•    Strong analytical and problem-solving skills
•    Excellent communication and collaboration
•    Ability to work independently in a remote environment
•    Good stakeholder management and presentation skills

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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