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# Data Scientist

- **Company:** Ventechsoft Inc
- **Location:** Atlanta, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Computer Programming, Continuous Integration, Data Cleansing, Data Transformation, Data Visualization, Relational Databases, Database Queries, Distributed Data Store, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Power BI, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Snowflake, Apache Spark, Model Validation, Generative AI, Gitlab, Pandas, Matplotlib, Pyspark, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Docker, Databricks
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/7fc34fc4-5b62-4d62-b14e-0824d05b0572

## About the Role

* 5+ years of experience in Data Science, Machine Learning, Statistics, or a related field.
 * Strong programming experience with Python.
 * Strong SQL skills and experience working with relational databases.
 * Experience with Machine Learning and statistical modeling.
 * Experience with Pandas, NumPy, Scikit-learn and related Python libraries.
 * Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
 * Strong knowledge of statistics, probability, regression, classification, clustering, and hypothesis testing.
 * Experience with data preprocessing, feature engineering, model evaluation, and optimization.
 * Experience working with large datasets and distributed data environments.
 * Strong analytical and problem-solving skills.

Preferred Skills

 * Experience with PyTorch or TensorFlow.
 * Experience with Spark / PySpark.
 * Experience with AWS, Azure, or Google Cloud Platform.
 * Experience with Databricks, Snowflake, or BigQuery.
 * Knowledge of MLOps and model deployment.
 * Experience with MLflow, Docker, Kubernetes, or CI/CD.
 * Experience with Generative AI, LLMs, NLP, or Computer Vision.
 * Experience with REST APIs and deploying machine learning models into production.
 * Experience with Git/GitHub/GitLab., * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

## Description

We are seeking an experienced Data Scientist to analyze complex datasets, develop predictive models, and deliver data-driven insights that support business and technical decisions. The ideal candidate will have strong experience in Python, SQL, machine learning, statistics, data visualization, and cloud platforms., * Analyze large and complex datasets to identify trends, patterns, and business opportunities.

 * Develop, train, validate, and deploy machine learning and statistical models.
 * Build predictive, classification, clustering, and recommendation models.
 * Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
 * Develop and optimize machine learning algorithms using Python and relevant frameworks.
 * Work with structured and unstructured data from multiple sources.
 * Create dashboards, reports, and visualizations to communicate analytical findings.
 * Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.
 * Evaluate model performance using appropriate statistical and machine learning metrics.
 * Implement model monitoring, validation, and continuous improvement processes.
 * Work with cloud-based data and machine learning platforms.
 * Document models, methodologies, assumptions, and analytical results.
 * Stay current with emerging developments in AI, Machine Learning, Generative AI, and Data Science.