- Coordinate and collaborate with
- 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.
- Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
- 7
- Experience leading data science projects.
- 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.
- It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
Data Scientist - Atlanta, United States - Gilder Search Group
Description
We are seeking aData Scientist
who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role.
Oil or Gas Industry experience is highly preferred for this role.
This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems.
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.
The Data Scientist will be a key member of theData and Analytics Platform Services
team. This role will create analytical models and datasets while working with a Data Engineer 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.
data engineering ,
analytic engineering , and other resources to achieve business goals.
Required Knowledge, Skills, Abilities (Qualifications):
Preferred Knowledge, Skills, Abilities: