Staff Engineer, Senior Data Scientist

Dover Fueling Solutions (DFS), comprised of the most trusted names in the fuel industry, are global leaders in driving innovation for over 100 years.

We lead every market we serve with focused expertise, progressive thinking and customer-inspired innovation in order to push the boundaries of performance for our customers and shareholders.

Dover Fueling Solutions (DFS), comprised of the most trusted names in the fuel industry, are global leaders in driving innovation for over 100 years. DFS, the industry's 1st end-to-end fueling solution, provides advanced fuel-dispensing equipment, including systems and payment, automatic tank gauging and wet stock-management solutions. The DFS business is comprised of industry leading brands including Tokheim, Wayne Fueling Systems, Fairbanks, ProGauge, ClearView and OPW Fuel Management Systems. We lead every market we serve with focused expertise, progressive thinking and customer-inspired innovation in order to push the boundaries of performance for our customers and shareholders. To learn more about DFS, visit www.doverfuelingsolutions.com. DFS is part of the Fluids segment of Dover Corporation (NYSE: DOV).

The Data Scientist will collaborate with business experts, cloud engineers, and other data scientists to solve problems related to wetstock management, diagnostics, sales promotion effectiveness, among other things. The work involves understanding, and building solutions to, business problems by collaborating with domain experts, performing data ingestion, exploratory data analysis, building machine learning models to solve business problems of classification, anomaly detection and prediction and last but not least operationalizing them. This job reports to the Manager of Digital Solutions.

The successful candidate will have/possess:

• Passion for solving practical problems, a high level of entrepreneurial drive and high collaboration skills.
• Tenacious attitude to grasp the core of the problem and convince the stakeholders of ML application value
• Proven record of applying machine learning techniques to solve business problems
• Effective verbal and written communication skills.
• Organization, time management, and prioritization skills.
• Proficiency in statistical packages and standard libraries in R (glmnet, ggplot, tidyverse etc.) and/or Python (numpy, pandas, etc.).
  

Preferred Qualifications:

• Educational background in Applied Mathematics, Statistics or other quantitative disciplines
• Hands-on experience with SQL and distributed Big Data Analytics using one of: Apache Spark, Hadoop, Azure Data Lake, Azure Databricks or CosmosDB.
• Hands-on experience in machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.
• Domain understanding of downstream oil & gas retail industries.

Our offer:

• Work with the latest technologies, giving you time and resources to grow your personal skillset
• Amazing atmosphere with awesome colleagues
• We encourage our employees to strive for a healthy work-life balance
• Competitive salary package, with nice extra’s on top (Multisport card, life insurance, health insurance for you and your family, fruits in the office etc.)

All qualified applicants will receive consideration for employment without discrimination on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.