> Markdown version of [/jobs/ext/4231821-specialist-data-sciences](https://www.wearedevelopers.com/jobs/ext/4231821-specialist-data-sciences). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Specialist - Data Sciences - **Company:** LTM Inc - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $83,912.0 - $128,080.0 - **Contract:** Internship / Graduate position - **Skills:** Data Analysis, Code Review, Data Cleansing, Python (Programming Language), Machine Learning, Data Processing, Feature Engineering, Data Analytics - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6627286e194ed16d ## About the Role Seeking a Senior Python Data Science professional with 3 to 5 years of experience to develop and deploy advanced data-driven solutions. ## Description * Utilize Python programming to analyze model and interpret complex datasets. * Develop machine learning models and data science algorithms to extract actionable insights. * Collaborate with cross-functional teams to design scalable data science solutions. * Implement data preprocessing feature engineering and statistical analysis techniques. * Stay updated with the latest trends and advancements in Python and data science methodologies. * Translate business requirements into technical solutions leveraging Python data science tools and libraries. * Ensure data quality and integrity throughout the data lifecycle. Roles and Responsibilities: * Design develop and optimize machine learning and data science models using Python. * Conduct exploratory data analysis to identify patterns and trends relevant to business objectives. * Build and maintain data pipelines and workflows for efficient data processing. * Validate and test models to ensure accuracy and robustness. * Collaborate with engineering teams to integrate data science models into production environments. * Mentor junior data scientists and provide technical guidance. * Participate in code reviews knowledge sharing and continuous improvement initiatives. * Communicate findings and insights effectively to both technical and nontechnical stakeholders.