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