Location
Atlanta, GA | United States
Job description
Data Scientist - 100% REMOTE
Oilfield services organization seeking a Data Scientist to join a team of Data Engineers looking to grow their team in areas of Machine Learning! The Data Scientist is responsible for supporting predictive analytic initiatives that empower business decisions. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. This is a permanent position working from the comfort of your home office!
The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with Data Engineers to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
Responsibilities:
- Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
- Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
- Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
- Explore large datasets using modeling, analysis, and visualization techniques.
- Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
- Ability to mentor, coach, and lead others.
- Contribute to and help build ML/AI vision to support business strategy.
Ideal candidate has a good mix of the following: - Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
- 3-5 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
- Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
- Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
- Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
Bonus Points for: - Oil and Gas use cases for predictive analytics.
The Perks: Excellent opportunity to join an established team and financially sound organization to grow and explore data in ways they never have before. In addition to a competitive salary and working fully remote, you will receive full suite of medical benefits, matching 401(k), bonus potential, robust PTO and much more! Report this job
- Dice Id: 10105282
- Position Id: 730804
Job tags
Salary
