Data Scientist
**Position: Machine Learning Engineer for Data Center Infrastructure**
Hybrid 3x weekly to Alpharetta GA
**Role Overview:**
Join our team as a Machine Learning Engineer and become pivotal in developing sophisticated, reliable, and efficient machine learning models to enhance our data center operations. In this capacity, you will craft predictive models by harnessing a diverse array of data sources and collaborating closely with a dedicated internal team to drive impactful outcomes.
**Who We're Looking For:**
- A holistic thinker adept at solving complex problems, not just the immediate challenge.
- An individual who thrives in autonomy yet values the synergy of teamwork, recognizing the importance of constructive feedback loops.
- Someone who strikes a fine balance between the pursuit of excellence and the agility of deployment.
- A data analytics and machine learning enthusiast eager to expand their knowledge horizon.
- A lifelong learner, open and motivated to master new skills.
**Key Responsibilities:**
- Acquire proficiency in utilizing and setting up data collection mechanisms, leveraging tools like Splunk, Dynatrace, and Netscout, among others.
- Employ AWS and Databricks, alongside Jupyter Notebooks, to construct precise ML models addressing specific business inquiries.
- Execute queries on databases and CSV files.
- Demonstrate proficiency in data pre-processing, handling large datasets with ease.
- Collaborate with senior directors, network engineers, system administrators, and other technical professionals to gather essential information for product development.
- Plan and execute project milestones, ensuring timely delivery of objectives.
- Engage in regular team meetings to review progress and adjust strategies as necessary.
- Exhibit strong ownership and result-driven behavior.
- Share your expertise and methodologies, empowering others to excel.
**Basic Qualifications:**
- Proven experience in data analytics and machine learning, with proficiency in TensorFlow, PyTorch, scikit-learn, or similar libraries.
- Skilled in at least one cloud service platform (AWS, Azure, GCP).
- Proficiency in R or Python for developing ML models and in SQL or similar query languages.
- Advanced training in Data Science or Machine Learning (Bachelor’s, Master’s degree, or certification with an emphasis on Machine Learning).
**Preferred Qualifications:**
- Hands-on experience with Databricks, S3, AWS, SQL, NoSQL, and MySQL.
- Practical experience with Splunk for data collection.
- At least 2 years of experience in developing machine learning models across extensive datasets.
We are on the lookout for candidates who are not just skilled in their field but are passionate about utilizing their expertise to make a significant impact. If you are ready to take on this challenge and grow with us, we would love to hear from you.