Data Scientist

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🕒 June 2

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Simulmedia

WebsiteLinkedInAll Job Openings

51 - 200 employees

No one knows how to drive growth and business performance through TV advertising better than Simulmedia, a marketer’s most trusted tech partner. In today’s complex, fast-moving TV industry, Simulmedia is your turnkey, one-stop shop to help you make the best decisions and solve your biggest and toughest challenges on TV.

📋 Description

• Develop and maintain supervised machine learning models to support ad targeting, measurement, and campaign optimization. • Perform data analysis, data validation, and feature engineering on large and complex datasets. • Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions. • Evaluate model performance using appropriate metrics and iterate on model improvements. • Support optimization and experimentation efforts related to advertising performance. • Assist with deploying models to production in collaboration with engineering teams. • Monitor model performance and help troubleshoot issues in production. • Communicate results, insights, and limitations to both technical and non-technical stakeholders. • Stay up to date with industry best practices in data science and machine learning.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. • 2–4 years of experience in data science, machine learning, or a related analytical role. • Hands-on experience applying machine learning to real business problems. • Proficiency in Python. • Solid experience with SQL and relational databases. • Experience with machine learning libraries such as scikit-learn. Experience with TensorFlow or PyTorch is a plus. • Good understanding of supervised learning techniques such as linear regression, logistic regression, and tree-based models including decision trees, random forests, and gradient boosting. • Experience with data manipulation and analysis using pandas and NumPy. • Familiarity with model evaluation techniques and performance metrics. • Basic understanding of working with production systems or machine learning pipelines is a plus. • Strong analytical and problem-solving abilities. • Ability to work independently while collaborating within a team. • Clear communication skills and ability to explain technical concepts simply. • Strong organizational skills and attention to detail. • Comfortable communicating with U.S.-based teams.