DEPT® · 11 hours ago
Data Scientist | Data & Engineering Team
Atlanta, GA
Full-time
Remote
Mid Level
$87K/yr - $126K/yr
3+ years exp
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Responsibilities
Self-Starter: Must be proactive and able to work independently, taking ownership of projects and driving them forward with minimal supervision.
Collaborative: Will work closely with cross-functional teams, particularly Data Operations, while being responsible for leading and managing the overall project.
Full Life Cycle Accountability: Responsible for end-to-end project management, including:
Development: Designing and building solutions.
Testing: Ensuring quality through comprehensive testing.
Deployment: Overseeing the deployment process.
Optimization: Continuously improving performance and efficiency.
Support: Providing ongoing maintenance and support to ensure long-term success.
Experience across multiple technical and functional domains in order to identify and execute optimal technical solutions in a variety of internal/client situations.
You understand design decisions and can articulate the tradeoffs made.
You are aware of industry trends and how they affect our work and introduce new ideas into our current workflow.
You offer advice and opinions for technical decisions that affect multiple clients/projects or the entire company.
You can communicate context, recommendations, and rationale to relevant internal and/or external stakeholders to drive towards buy-in
You demonstrate the ability to take a step back and question/ensure that work proposed/being done is maximizing client value delivery.
You can synthesize input from various team members to drive to a solution.
Qualification
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Required
Experience with experimental design, execution and data-driven measurement solutions
Experience with (traditional) Natural Language Processing, Forecasting, Supervised and Unsupervised learning
Excellent statistical programming skills (R, Python, etc)
Advanced knowledge of SQL and how to utilize it for machine learning purposes
3+ years of experience/background in Data Science (degree in statistics, data science computer science, etc)
You have experience with the implementation/execution, prototyping and productionalization of data science solutions
You are good with data visualization, and data storytelling
You are able to translate complex data science concepts into easy to understand language.
Preferred
Experience with cloud environments (such as but not limited to Databricks, AWS)
Experience with building and training Neural Networks from scratch
Experience with fine-tuning (transfer-learning) pre-trained models
Experience with frameworks like Tensorflow, JAX & Pytorch
Experience with MLOps (MLFlow, Kubeflow, Sagemaker, Tfx, etc)
Experience with Hugging Face, Spacy, NLTK, Elastic Search
Benefits
Healthcare, Dental, and Vision coverage
401k plan, plus matching
PTO
Paid Company Holidays
Parental Leave
Company
DEPT®
We are a pioneering technology and marketing services company that creates end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more.
1,001-5,000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2019-12-20Acquired· undefined
Leadership Team
Matt Lynch
CEO
Jesse Streb
Global SVP, Technology & Engineering
Recent News
2024-03-27
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