Posted May 7, 2026
As a Data Scientist at Talent Worx, you will play a crucial role in leveraging your expertise in Machine Learning Engineering to develop innovative solutions for real-world business challenges. Your responsibilities will include:
Collaborating with cross-functional teams to understand requirements and create machine learning solutions tailored to address specific business needs. - Designing, implementing, and validating machine learning models using a variety of algorithms and techniques. - Performing feature engineering, model selection, and hyperparameter tuning to enhance the performance of the models. - Deploying machine learning models into production environments while ensuring scalability, reliability, and performance optimization. - Monitoring the performance of deployed models and continuously improving them based on feedback and data analysis. - Creating reports and visualizations to effectively communicate insights and findings derived from data analysis. - Keeping abreast of the latest advancements in data science and machine learning technologies to ensure the team remains at the forefront of innovation. - Contributing to the team's knowledge base by sharing best practices and insights related to data science and ML engineering. - Mentoring junior team members to help them develop their skills in data science and machine learning methodologies. Qualifications required for this role include:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related field. - 3-12 years of experience in data science and machine learning engineering. - Proficiency in Python programming and hands-on experience with ML libraries like TensorFlow, Keras, or PyTorch. - Strong skills in data manipulation and analysis using SQL, Pandas, and NumPy. - Experience deploying machine learning models on cloud platforms such as AWS, Azure, or GCP. - Sound knowledge of machine learning algorithms, statistics, and data mining techniques. - Familiarity with CI/CD practices and tools for model deployment. - Excellent problem-solving abilities, attention to detail, and a collaborative mindset. - Effective communication skills to convey technical concepts to non-technical stakeholders. Join Talent Worx and be a part of a dynamic team where you can leverage your expertise and contribute to cutting-edge projects in data science and machine learning. As a Data Scientist at Talent Worx, you will play a crucial role in leveraging your expertise in Machine Learning Engineering to develop innovative solutions for real-world business challenges. Your responsibilities will include:
Collaborating with cross-functional teams to understand requirements and create machine learning solutions tailored to address specific business needs. - Designing, implementing, and validating machine learning models using a variety of algorithms and techniques. - Performing feature engineering, model selection, and hyperparameter tuning to enhance the performance of the models. - Deploying machine learning models into production environments while ensuring scalability, reliability, and performance optimization. - Monitoring the performance of deployed models and continuously improving them based on feedback and data analysis. - Creating reports and visualizations to effectively communicate insights and findings derived from data analysis. - Keeping abreast of the latest advancements in data science and machine learning technologies to ensure the team remains at the forefront of innovation. - Contributing to the team's knowledge base by sharing best practices and insights related to data science and ML engineering. - Mentoring junior team members to help them develop their skills in data science and machine learning methodologies. Qualifications required for this role include:
Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related field. - 3-12 years of experience in data science and machine learning engineering. - Proficiency in Python programming and hands-on experience with ML libraries like TensorFlow, Keras, or PyTorch. - Strong skills in data manipulation and analysis using SQL, Pandas, and NumPy. - Experience deploying machine learning models on cloud platforms such as AWS, Azure, or GCP. - Sound knowledge of machine learning algorithms, statistics, and data mining techniques. - Familiarity with CI/CD practices and tools for model deployment. - Excellent problem-solving abilities, attention to detail, and a collaborative mindset. - Effective communication skills to convey technical concepts to non-technical stakeholders. Join Talent Worx and be a part of a dynamic team where you can leverage your expertise and contribute to cutting-edge projects in data science and machine learning.
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