Senior Data Science Manager

1 day ago


Charlotte, North Carolina, United States Optomi Full time
Job Summary

Optomi is seeking a highly skilled Senior Data Science Manager to lead our data science initiatives and drive business outcomes through data-driven solutions. As a key member of our team, you will be responsible for developing and executing data strategies, mentoring a team of data scientists, and collaborating with cross-functional teams to design and implement scalable data pipelines and architectures.

Key Responsibilities:

  • Team Leadership: Foster a collaborative environment that encourages innovation and professional growth, and mentor a team of data scientists to achieve business objectives.
  • Data Strategy: Develop and execute data strategies that align with business objectives, ensuring the effective use of data for decision-making.
  • Model Development: Design, build, and deploy predictive models and machine learning algorithms that drive business outcomes.
  • Cloud Infrastructure: Utilize AWS services to develop and maintain scalable data pipelines and architectures.
  • Data Engineering: Collaborate with data engineers to streamline data collection, storage, and processing, ensuring high-quality data for analysis.
  • Performance Optimization: Monitor and enhance model performance, deploying techniques such as hyperparameter tuning and model retraining.
  • Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to understand requirements and deliver impactful data solutions.
  • Communication: Present findings and insights to technical and non-technical stakeholders, translating complex concepts into actionable recommendations.

Qualifications:

  • Education: Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • Experience: 5+ years of experience in data science or analytics, with at least 2 years in a leadership role.
  • Technical Skills: Expertise in machine learning frameworks, data visualization tools, and data processing frameworks.
  • Problem-Solving: Strong analytical and problem-solving skills, with the ability to work with complex data sets and develop innovative solutions.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to a non-technical audience.


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