Data Science Manager - Machine Learning Models

Job Description

As a Data Science Lead, your role involves leading and managing data science teams to develop and deploy machine learning models and advanced analytics solutions. You will define and execute data strategies aligned with business objectives to ensure actionable insights drive decision-making. Your responsibilities include collaborating with cross-functional teams to identify and solve complex data-related challenges and ensuring data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability. Moreover, you will mentor and develop data scientists, staying updated on emerging trends in data science and AI and effectively communicating findings to technical and non-technical stakeholders.**Key Responsibilities:**- Lead and manage data science teams for the development and deployment of machine learning models and advanced analytics solutions.- Define and execute data strategies aligned with business objectives.- Collaborate with cross-functional teams to identify and solve complex data-related challenges.- Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure.- Mentor and develop data scientists, staying updated on emerging trends in data science and AI.- Communicate findings effectively to technical and non-technical stakeholders.**Qualifications Required:**- Strong problem-solving and analytical thinking skills.- Leadership and people management abilities.- Business acumen to align data science initiatives with organizational goals.- Effective communication skills for conveying technical concepts.- Decision-making capabilities based on data-driven approaches.The company encourages a continuous learning mindset to keep up with emerging data science trends and methodologies, fostering a collaborative approach to working with cross-functional teams for knowledge sharing and innovation.**Note:** The company prefers candidates with certifications such as Certified Data Scientist (CDS) from DASCA, AWS Certified Machine Learning Specialty, Azure AI Engineer Associate from Microsoft, and Data Science Specializations from platforms like Coursera and edX. As a Data Science Lead, your role involves leading and managing data science teams to develop and deploy machine learning models and advanced analytics solutions. You will define and execute data strategies aligned with business objectives to ensure actionable insights drive decision-making. Your responsibilities include collaborating with cross-functional teams to identify and solve complex data-related challenges and ensuring data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability. Moreover, you will mentor and develop data scientists, staying updated on emerging trends in data science and AI and effectively communicating findings to technical and non-technical stakeholders.**Key Responsibilities:**- Lead and manage data science teams for the development and deployment of machine learning models and advanced analytics solutions.- Define and execute data strategies aligned with business objectives.- Collaborate with cross-functional teams to identify and solve complex data-related challenges.- Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure.- Mentor and develop data scientists, staying updated on emerging trends in data science and AI.- Communicate findings effectively to technical and non-technical stakeholders.**Qualifications Required:**- Strong problem-solving and analytical thinking skills.- Leadership and people management abilities.- Business acumen to align data science initiatives with organizational goals.- Effective communication skills for conveying technical concepts.- Decision-making capabilities based on data-driven approaches.The company encourages a continuous learning mindset to keep up with emerging data science trends and methodologies, fostering a collaborative approach to working with cross-functional teams for knowledge sharing and innovation.**Note:** The company prefers candidates with certifications such as Certified Data Scientist (CDS) from DASCA, AWS Certified Machine Learning Specialty, Azure AI Engineer Associate from Microsoft, and Data Science Specializations from platforms like Coursera and edX.

Keyskills :
PythonSQLSparkAWSAzureGCPStatistical ModelingPredictive AnalyticsDeep LearningData VisualizationPower BIMatplotlibDashVectorizationDockerTensorFlowPyTorchScikitLearnQuicksightSeabornStreamlitGenAILLMsAgentic AIPrompt Engineering