Company Description
Cloverly Tech is an innovative IT staffing and consulting firm specializing in cutting-edge fields like Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, DevOps, and Mobile App Development, we strive to empower businesses with top-tier talent.
Important Note: The candidate will need to be on-site at the client location for 3 days during the first month and then once a month thereafter. Local candidates in Texas are preferred, but travel expenses will be covered for the first month.
How To Apply:
Interested candidates are requested to submit their resume, cover letter, and any relevant portfolio or GitHub links demonstrating their experience in data science to Raj@cloverlytech.com OR vish@cloverlytech.com.
Job Description:
We are seeking a highly skilled and motivated Data Scientist to lead and execute data science initiatives end-to-end. In this role, you will work independently to build advanced machine learning models, conduct data research, and collaborate with cross-functional teams to drive business value. You will also play a crucial role in establishing data science best practices and mentoring junior team members as needed.
Key Responsibilities:
- Strategize, design, and execute data science initiatives from ideation to production, ensuring that all models and solutions align with business goals and customer needs.
- Build and optimize machine learning, statistical, and causal models to improve product search, ranking, and recommendation systems that impact various business objectives.
- Establish and maintain frameworks, tools, and best practices for ensuring consistency and efficiency across data science projects, ensuring production-grade delivery of data science solutions.
- Continuously investigate model performance, making necessary adjustments to ensure optimal accuracy, robustness, and reliability.
- Work closely with product managers and engineers to develop and deploy data science solutions, ensuring alignment and scalability across multiple business units.
- Provide technical guidance and mentorship to less experienced data scientists, fostering a collaborative and growth-oriented environment.
- Act as a subject matter expert by educating business and engineering teams on core data science concepts such as statistics, machine learning, and predictive modeling.
- Identify data gaps and create data product specifications. Collaborate with engineering teams to implement enhanced data tracking and quality improvements.
- Partner with analytics team members and other functions to share insights, best practices, and ensure data-driven decision-making is consistent across the organization.
- Effectively present insights, analysis, and recommendations to cross-functional teams and senior management to drive decision-making and business strategy.
Qualifications:
Education:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience:
- Proven experience leading and executing end-to-end data science projects as an individual contributor.
- Extensive experience with machine learning models, statistical analysis, and predictive modeling.
- Strong understanding of product search, recommendation systems, or ranking algorithms is a plus.
Technical Skills:
- Expertise in Python or R for data analysis and machine learning.
- Strong experience with libraries such as pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL for querying and data manipulation.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, or Power BI).
- Familiarity with cloud platforms (e.g., AWS, GCP) for data infrastructure and model deployment.