Job Description:
As the Lead Data Scientist, you will spearhead our data science initiatives, guiding a team of data scientists and collaborating with cross-functional teams to design and implement data-driven solutions. You will utilize your engineering background and AWS cloud experience to optimize data processes, build scalable models, and ensure the robustness of our data infrastructure.
Key Responsibilities:
• Team Leadership: Mentor and lead a team of data scientists, fostering a collaborative environment that encourages innovation and professional growth.
• 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 (e.g., S3, Redshift, SageMaker) 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.
• Strong engineering background with proficiency in programming languages such as Python, R, or Scala.
• Hands-on experience with AWS cloud services and data engineering tools.
• Technical Skills:
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficient in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Solid understanding of data processing frameworks (e.g., Apache Spark, Hadoop).
• 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.
Location: Charlotte, NC
Posted: Oct. 23, 2024, 8:53 a.m.
Apply Now Company Website