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Staff Data Scientist

What we do: 

Zefr is the leading data company enabling responsible marketing in social media environments. Zefr’s solutions empower brands to understand content on scaled platforms such as YouTube, Meta, TikTok, and Snap. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent targeting and measurement solutions. The company is headquartered in Los Angeles, California, with additional locations across the globe.

What you’ll do: 

We are hiring a Staff Data Scientist to help us build and use state of the art machine learning models using multiple terabytes of data.  In this role you will implement machine learning algorithms to understand what hundreds of millions of social media posts are about. You will be working with state of the art models, including large language models, to build sophisticated compound AI systems. We are excited to welcome someone who is passionate about cutting edge research in machine learning, computer vision, natural language processing, and vector databases. We want an individual who can keep up to date with the ever-expanding field of data science. This is a role where we both expect to learn from you and have you learn from us!

Tech stack:

  • Languages: Python, SQL

  • Data Stores: Snowflake, Qdrant, DynamoDB, Scylla DB

  • Data Processing: Apache Kafka, Pandas, DBT, FastAPI

  • DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog

  • MLOps:Triton Inference Server, Weights and Biases, Onnx, TensorRT, DVC

  • ML: Transformers, PyTorch, HuggingFace

  • Labeling: Voxle51, LabelBox

What we’re looking for:

  • Bachelor's or Master's degree in Computer Science or related field with 7+ years of professional experience

  • Experience with training classifiers, encoders, and generative models (LLMs) both from scratch and via fine tuning.

  • Fluency with Python and SQL (Specifically Snowflake)

  • Experience with distributed systems and machine learning models

  • Experience with working with LLMs and RAG systems

  • Strong foundation in data structures, algorithms and software design

  • Thorough testing and code review standards/practices

  • Strong verbal and written communication skills

  • Openness to new technologies and creative solutions

Benefits (for US based employees):

  • Flexible PTO

  • Medical, dental, and vision insurance with FSA options

  • Company-paid life insurance

  • Paid parental leave

  • 401(k) with company match

  • Professional development opportunities

  • 14 paid holidays off

  • In-office, hybrid, and fully-remote work options available

  • “Summer Fridays” (shorter work days on select Fridays during the summertime)

  • In-office lunches and lots of free food

  • Optional in-person and virtual events (we like to celebrate!)

Compensation (for US based employees):

The anticipated base salary for this position is between $235,000 and $250,000.  Additional stock options are provided with this role.  Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better.  We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

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CEO of ZEFR
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Zach James and Rich Raddon
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Average salary estimate

$242500 / YEARLY (est.)
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$235000K
$250000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Data Scientist, ZEFR

At Zefr, we’re excited to welcome a Staff Data Scientist to our innovative team in Marina del Rey! As a leading data company, we empower brands to navigate the ever-evolving landscape of social media marketing. In this pivotal role, you’ll leverage your expertise to build and refine cutting-edge machine learning models, analyzing massive datasets and understanding social media content at a granular level. You’ll work closely with large language models and contribute to creating sophisticated AI systems that drive enhanced targeting and measurement solutions for platforms like YouTube, Meta, TikTok, and Snap. We’re looking for someone with a robust background in machine learning, computer vision, and natural language processing. Your work will not only help us push the boundaries of technology but also allow for a collaborative learning environment where we can both exchange knowledge and innovate. If you're ready to dive into the world of data science and enjoy a workplace that values creativity and open communication, we’d love to have you on board at Zefr where your skills in Python, SQL, and extensive knowledge of machine learning will make a significant impact. Join us as we continue to shape the future of responsible marketing in social media!

Frequently Asked Questions (FAQs) for Staff Data Scientist Role at ZEFR
What are the main responsibilities of the Staff Data Scientist at Zefr?

As a Staff Data Scientist at Zefr, your primary responsibilities will include developing high-performance machine learning models, analyzing extensive datasets, and implementing advanced algorithms to gain insights into social media content. This role emphasizes collaboration with team members to advance our AI capabilities and ensure the integrity and authentic performance of our solutions.

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What qualifications are required for the Staff Data Scientist position at Zefr?

To be considered for the Staff Data Scientist role at Zefr, you should have a Bachelor’s or Master’s degree in Computer Science or a related field, along with 7+ years of professional experience in data science. Expertise in areas such as training classifiers, working with large language models, and proficiency in Python and SQL are essential for this position.

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What technologies do Staff Data Scientists use at Zefr?

In the Staff Data Scientist role at Zefr, you'll utilize a diverse tech stack that includes Python, SQL, Snowflake, Apache Kafka, and machine learning frameworks like PyTorch and HuggingFace. Experience with distributed systems and various data processing technologies will play a crucial role in your day-to-day activities.

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What is the work environment like for a Staff Data Scientist at Zefr?

Zefr fosters a dynamic and inclusive work environment. Staff Data Scientists can enjoy flexible work arrangements, whether in-office, hybrid, or fully remote. We strongly encourage collaboration and creativity, ensuring that everyone feels valued and empowered to contribute.

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What benefits does Zefr offer for the Staff Data Scientist position?

As a Staff Data Scientist at Zefr, you will enjoy a comprehensive benefits package, including flexible PTO, medical, dental, and vision insurance, company-paid life insurance, a 401(k) plan with matching, and professional development opportunities. We also celebrate our team spirit with optional in-person and virtual events, summer Fridays, and plenty of free food!

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Common Interview Questions for Staff Data Scientist
Can you describe your experience with machine learning models as a Staff Data Scientist?

When responding to questions about your experience with machine learning, highlight specific models you've developed or worked with. Discuss the technologies you've used, the challenges faced, and provide examples of successful projects, focusing on the impact of your work.

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How do you stay up-to-date with the latest advancements in data science and machine learning?

Be prepared to discuss your methods for keeping current in this rapidly changing field. Mention resources such as academic journals, conferences, online courses, or influential figures in the industry that you follow. Sharing personal projects can also illustrate your commitment to continuous learning.

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What are the key considerations when deploying a machine learning model?

Highlight your understanding of deployment challenges including model performance, scalability, and maintaining data integrity. Discuss your experience with MLOps tools and how you ensure that models perform well in production environments.

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Can you explain your process for fine-tuning large language models?

Articulate your approach to fine-tuning by outlining your steps, such as defining the training dataset, selecting hyperparameters, and evaluating the model’s performance. Providing specific metrics to assess model accuracy and effectiveness will strengthen your answer.

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What programming languages are you proficient in, and how do you apply them in data science?

Discuss your fluency in programming languages relevant to data science, specifically Python and SQL. Provide examples of projects or tasks where you utilized these languages, emphasizing any libraries or frameworks that enhanced your work.

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How do you approach collaboration with cross-functional teams as a Staff Data Scientist?

Emphasize your experience working with diverse teams such as engineers, product managers, and marketing specialists. Discuss your communication strategies and how you tailor your data science insights to be understandable across different fields, fostering collaboration.

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Describe a challenging data science project and how you overcame the difficulties.

Select a project that showcases your problem-solving skills. Explain the challenge, your analytical approach to resolving it, and the skills you leveraged. End with the positive outcome and any lessons learned that can be relevant to your future work at Zefr.

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How important is testing in the software development lifecycle for data science models?

Articulate the importance of testing and validation within the lifecycle of model development. Discuss methods you've used in the past, and how thorough testing impacts model performance and reliability.

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What role do data structures and algorithms play in your work as a Staff Data Scientist?

Connect the importance of strong fundamentals in data structures and algorithms to the efficiency and effectiveness of your machine learning models. Share how your knowledge in this area has contributed to enhanced performance in past projects.

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Why do you want to work at Zefr as a Staff Data Scientist?

Convey genuine enthusiasm for Zefr’s mission and values. Highlight aspects of the company culture, innovations in data services, or specific projects that attract you. Align your career goals with those of Zefr, demonstrating how you can contribute while growing with the team.

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Full-time, hybrid
DATE POSTED
December 12, 2024

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