Data Scientist ( Los Angeles-California )

We are looking for a Data Scientist with more than 5 years of experience.

Key Responsibilities:

• Develop novel AI/ML solutions to further the company’s mission of creating innovative and engaging content
• Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry
• Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.
• Identify trends, patterns, and insights from large datasets to inform decision-making.
• Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results
• Think creatively to solve complex problems
• Monitor and maintain the performance of ML models
• Research and stay up-to-date on the latest AI/ML trends and technologies
• Provide technical guidance and mentorship to other engineers
• Collaborate with data engineering teams to ensure the quality and accessibility of data
• Communicate insights and best practices in leadership

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field (Master’s degree a plus)
• 5+ years of experience in data science, with a track record of delivering successful projects
• Proficiency in programming languages such as Python, R, or Scala
• Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries.
• Solid understanding of ML technologies, models, mathematics and statistical methods
• Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and to drive impactful decisions, with an eye for great ways to visualize data
• Excellent problem-solving skills and the ability to think creatively
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Experience with financial forecasting models is a plus
• Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus
• Familiarity with data processing tools like dbt and Airflow, UI layers like Streamlit is a big plus

What does a typical day look like? Machine Learning Development

The candidate will:

• Develop machine learning models.
• Support financial and operational business use cases.
• Design advanced analytical solutions.

Productionization of Models

An important distinction was made between:

• Building models.
• Operationalizing models.

Responsibilities include:

• Deploying machine learning solutions.
• Supporting ML Operations (MLOps).
• Working with engineering teams.
• Creating solutions that are repeatable, maintainable, and scalable.
• Contributing to Snowflake-based environments.

Based on the job description, tell me what the top 5 must have skills needed for this role? Must-Have Skills

• Machine Learning experience.
• Python.
• Snowflake.
• MLOps experience.

Additional emphasis:

• Machine learning expertise was repeatedly identified as the most important qualification.
• The manager indicated candidates should clearly demonstrate experience building ML models.
• Other emerging AI technologies can be learned, but foundational machine learning experience is required.

Other Requirements:

Location: Los Angeles, California Remuneration: Payment would be based on hours worked. Education Level: Master’s Degree Schedule: 8:00 AM – 5:00 PM Experience: 5+ years Work Model: On-site Contract: 6 months