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:

1.      Building models.

2.      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

1.      Machine Learning experience.

2.      Python.

3.      Snowflake.

4.      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