Data Scientist ( Los Angeles-California )

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

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

Requirements

• ● 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?

• Must-Have Skills Machine Learning experience.
• Python.

Preferred

• MLOps experience.
• 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.

Pay

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

Productionization of Models An important distinction was made between: Building models.

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