Senior Analytics Engineer

1 week ago


Houston, Texas, United States Jobot Full time
Fully Remote Opportunity with a Leading AI Firm

This position is hosted by Jobot.

About Us:

We are on the lookout for an experienced Senior Data Scientist who is enthusiastic about utilizing data-driven insights to tackle intricate business challenges. This role is integral to our dynamic technology team, which is dedicated to pioneering innovative and state-of-the-art solutions. The ideal candidate will engage in the complete data science lifecycle, from defining problems to data exploration, modeling, validation, and deployment. This is a remarkable chance to collaborate with a committed team of data scientists, engineers, and business experts in a stimulating and collaborative atmosphere.

Why Join Our Team?
  • Fully Remote Work Environment
  • Engaging and Innovative Projects
  • Comprehensive Benefits Package
  • Generous Paid Time Off


Key Responsibilities:

1. Design, develop, and execute comprehensive cloud-based machine learning production pipelines, encompassing data exploration, sampling, training data generation, feature engineering, model development, and performance assessment.
2. Ensure data pipelines are scalable, repeatable, and secure, catering to multiple users within the organization.
3. Create highly scalable classifiers and tools utilizing machine learning, data regression, and rule-based models.
4. Modify standard machine learning techniques to optimize performance in modern parallel environments.
5. Conduct exploratory data analysis to comprehend the challenges at hand and pinpoint opportunities for new data-driven solutions.
6. Collaborate with the engineering team to transition analytical prototypes into production, generating actionable insights for business enhancements.
7. Validate models using various techniques to ensure statistical soundness.
8. Propose innovative solutions and strategies to address business challenges.
9. Work alongside data engineers and platform architects to implement robust real-time and batch decision-making solutions.
10. Stay abreast of the latest research and technological advancements; share knowledge by effectively communicating results and ideas to key stakeholders.

Qualifications:

1. Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related discipline.
2. Over 5 years of experience in a relevant capacity (data scientist, data analyst, machine learning engineer, etc.).
3. Strong background in Natural Language Processing (NLP) and Language Models (LLM).
4. Proficient in one or more programming languages such as Python, R, Java, or C++.
5. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
6. Solid mathematical foundation (e.g., statistics, algebra).
7. In-depth understanding of machine learning algorithms.
8. Exceptional problem-solving skills and intellectual curiosity.
9. Strong communication abilities to convey complex analytical concepts to individuals from diverse fields.
10. Proven history of utilizing large datasets to drive significant business outcomes.
11. Experience with cloud services (AWS, Google Cloud, Azure) is advantageous.
12. Knowledge of Agile methodologies is a plus.

Interested in learning more? We encourage you to explore this opportunity.

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