Senior Data Scientist I
1 week ago
Duties and Responsibilities:
• Apply domain and industry knowledge to solve complex data science projects, developing
advanced machine learning models, and driving data-driven decisions within the organization.
• Lead data science projects from start to finish by refining objectives, developing a project plan
and methodology, and collaborating with business and technical teams.
• Collaborate with other data scientists to develop and implement algorithms, write code,
evaluate relevant academic research to deliver final outputs.
• Write and maintain high-quality, production grade code, including unit and integration tests.
• Provide guidance on tools, practices to drive efficiency, technical debt, data sources, and best
practices.
• Collaborate and guide junior data scientists on algorithms, coding best practices, and other
technical concepts.
• Document code and data science processes that are critical to the company and develop
strategies to ensure those processes are robust and fault-tolerant.
• Communicate findings to business leaders and colleagues using data visualizations,
presentations and reports.
Minimum Qualifications:
• 5+ years of experience leading data science projects that have a direct impact on a company's
objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science
with 3+ years of experience
• 5+ years of experience utilizing data mining techniques, ML models to assist business decision
making. Hands-on experience with deep learning frameworks , LLMs, GenAI tools, and NLP
techniques.
• Deep expertise in statistical methods and machine learning concepts, with the ability to mentor
team members on methodologies, model tuning, and evaluation techniques.
• 2+ years hands-on experience with deep learning frameworks, LLMs, GenAI tools, and NLP
techniques.
• 5+ years of experience using Python to process large, diverse datasets, and develop and deploy
predictive models in cloud-based environments and other computing platforms.
• 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS,
etc.).
• Demonstrated ability to assist business decision-making through data mining and machine
learning.
• Strong communication skills to collaborate effectively with business stakeholders. Must be able
to interact cross-functionally and drive both business and technical discussions.
• Ability to translate complex business problems into actionable project plans and solve them by
using data science techniques on large datasets.
• Domain knowledge and experience in building models across multiple domains.
Preferred Qualifications:
• Experience using data science or advanced analytics in an internet retailer or a top-tier
consumer-focused company.
• Background in e-commerce, with familiarity in website metrics, search and recommendation
systems, customer purchasing behavior, and marketing strategies.
• Experience building and maintaining models for real-time applications.
• Experience using containerization tools like Docker and Kubernetes in production environments.
• Experience using orchestration tools such as Airflow or Kubeflow for production workloads.
• Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe
Analytics, etc.) a definite plus.
• Master's degree preferred in quantitative fields such as Statistics, Data Science, Computer
Science, etc.
• Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to
business partners.
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