AI Data Scientist - Peppermill : Job Details

Location: San FranciscoJob Type: Full-timeDepartment: Software Development/EngineeringReports To: CTOAbout the Role:We are looking for a talented and driven AI Data Scientist to join our dynamic team working to make AI accessible to all. In this role, you will help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python). Your primary responsibilities will be performing statistical analyses, running custom SQL queries, and identifying patterns and trends that can improve our products' and services' efficiency and usability. You will also be expected to maintain and improve our data infrastructure and tools (design, develop, and maintain web applications and platforms), working across both front-end and back-end systems. You will collaborate with cross-functional teams to deliver scalable and innovative solutions that are challenging to build but have a large impact.This is an exciting opportunity to work in a fast-paced environment and contribute to building innovative applications that make a meaningful impact.Key Responsibilities:

• Work with stakeholders to help define product roadmap and ML/AI toolsets
• Work with developers to build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline
• Help define and create tools for customers to use data visualizations, reports, dashboards, and data audits
• Proactively participate in developing scalable Business Intelligence (BI) tools and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining
• Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders
• Understand customer needs of a variety of industries and help build and design toolsets for customers
• Perform other duties as assignedQualifications and Skills:Required:
  • Bachelor's degree in data science, data analytics, or related field
  • At least 6 -10 years of experience in data science with expert-level Python, SQL, and statistical modeling experience
  • Proven experience as an AI Data Scientist or similar role
  • Proficiency in programming languages (Python, R)
  • Proficiency in machine learning (TensorFlow)
  • Knowledge of data science toolkits - NumPy
  • Working knowledge of statistical models and business intelligence
  • Familiarity with cloud-based infrastructure
  • Experience in developing LLM systems, RAG pipelines, and ML pipelines
  • Proficiency in Git/GitHub, and Docker
  • Proficiency in database design and management (SQL/NoSQL)
  • Analytical thinking for dissecting complex data and extracting valuable insights
  • Problem-solving for systematically approaching problems and devising practical solutions
  • Must reside in the San Francisco Bay AreaPreferred:
    • Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, data science, mathematics, or engineering, or a related field - or equivalent experience or education
    • Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques
    • Familiarity with real-time data processing frameworks
    • Experience with fundamental AWS services and concepts
    • Experience with Queueing systems (RabbitMQ / Kafka / etc.)
    • Understands and supports MLOps practices
    • Proficient with Cloud Based Data Science Tools and Processes
    • Create data visualizations, reports, dashboards, and data audits
    • Leverage predictive models to optimize customer experiences
    • Understanding automated anomaly detection processes/methods
    • Work closely with product managers, designers, and other developers & engineers to ensure project goals are met
    • Work across time zones to interact with remote teams
    • Participate in code reviews, brainstorming sessions, and team stand-ups
    • Comfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production products
    • Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations
    • Assist with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions
    • Perform data manipulation and analytics and translate insights into actionable recommendations to management and customers
    • Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders
    • Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management
    • Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross-functional team
    • Communication- both verbal and non-verbal - for clearly conveying complex data insights to non-technical audiences
    • Stay up to date with the latest industry trends and technologies
    • Propose and implement improvements to the development process
    • Curiosity for exploring new data processing methodologies and tools
    • Adaptability for adopting new data science technologies and methodologiesWe are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.Ready to Join Us?If you're passionate about software development, thrive in dynamic environments, and want to work on impactful projects, we would love to hear from you! Apply today to be part of our team and help shape the future of technology.How to ApplyResume required - must reside in the San Francisco Bay Area. #J-18808-Ljbffr