St. Louis, MO, United States (On-site)
Contract (7 months 21 days)
Published 27 days ago
data visualization
apache spark
cloud platforms
data analysis
problem - solving and communication skills
mlops
SQL
Python
cross - functional collaboration
- We are seeking a highly analytical Data Scientist to join our Data Center Group.
- Responsible for extracting meaningful insights from massive, disparate datasets to optimize our data center operations, improve resource allocation, and drive strategic decision-making.
- This role requires a unique blend of statistical expertise, programming proficiency, and a deep understanding of diverse database architectures.
Key Responsibilities:
- Data Acquisition & Integration: Extract, clean, and integrate data from various "flavors" of databases, including relational (SQL) and non-relational (NoSQL) systems.
- Exploratory Data Analysis (EDA): Perform deep-dive analyses to identify patterns, anomalies, and trends within data center metrics such as power usage, cooling efficiency, and server performance.
- Advanced Modeling: Develop, test, and deploy machine learning models and predictive algorithms to forecast infrastructure needs and automate operational processes.
- Data Visualization: Create intuitive dashboards and reports to communicate complex findings to both technical teams and executive stakeholders.
- Cross-Functional Collaboration: Partner with data engineers to optimize data pipelines and ensure data quality across our global data center footprint.
Required Qualifications:
- Education: Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related quantitative field.
Technical Skills:
- Proficiency in Python or R for data manipulation and modeling.
- Advanced SQL skills for querying complex relational databases.
- Experience with NoSQL databases (e.g., MongoDB, Cassandra) and big data frameworks (e.g., Apache Spark).
- Strong foundation in Statistics and Probability.
- Soft Skills: Excellent communication, problem-solving, and the ability to translate technical data into business-relevant narratives.
Preferred Experience:
- Prior experience working within a data center or large-scale infrastructure environment.
- Familiarity with cloud computing platforms (AWS, GCP).
- Experience with MLOps for productionizing and monitoring models
The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.