ADelve Deeper! Join one of Inc 5000's fastest-growing companies as a Business Analytics Analyst. A top-rated Google Marketing Platform Partner, DELVE is your strategic partner for site-side analytics, campaign management, and advanced marketing science. In this role, you will join an energetic growing team of analysts, data engineers, and data scientists that drives client growth through a data-driven mindset that converts digital inefficiency into hard ROI.
This experienced-level position located in our Krakow, Poland office will challenge you to deliver intelligent machine learning-driven marketing insights, predictions, and recommendations in a consultant-client settings. Using your creativity, technical programming skills, and passion for problem solving, you will develop and deploy cloud-based (mainly in Google Cloud Platform) data science solutions solving real world marketing business problems. The successful data scientist will be an independent self-starter comfortable with ambiguity and able to transform vague client business problems into tangible machine learning projects aimed at delivering measurable economic value.
Required Skills/Experience
- Advanced level proficiency with Python (expertise in developing/deploying machine learning in R, Matlab, Octave, Java also considered)
- 2+ years creating data pipelines and developing/deploying machine learning models in a business setting (preferably using Python, but expertise in other languages will be considered).
- Expertise in data cleansing, transformation, and model feature creation/abstraction/selection specifically for machine learning.
- Ability to discuss pros and cons of various structured and unstructured learning algorithms/methodologies (ANN vs. SVM, kMeans vs. SOM, Bagging vs. Boosting).
- Undergraduate degree in computer science, engineering, physics, math, economics, finance or other quantitative field (will consider in place of an undergraduate degree, a top 10% finish in any Kaggle.com competition awarding a cash prize).
- Passion for data storytelling and quantitative analysis (ability to provide at least one example of a research paper, blog post, or business presentation created within the past 2 years for school or work on topics of data science).
- Ability to communicate complex topics in simple terms.
- At least intermediate competency with 2 of the following: Excel, Tableau, QlikView, Looker, Power BI, Google Data Studio, SQL.
- Intermediate to advanced fluency in English.
Preferred Skills/Experience
- Exposure to cloud environments (Google Cloud Platform preferred but will consider exposure to Amazon Web Services and Microsoft Azure).
- Masters degree in computer science, engineering, physics, math, economics, finance or other quantitative field.
- Comfort with conveying complex ideas using abstract methods (e.g., mathematical equations, process maps, musical notation).
- Ability to provide personal Github repository with examples of problem solving code.
- At least one top 25% finish in a Kaggle.com competition (or other data science competition).
Application Requirements
Please submit applications to begin@delvedeeper.com with:
- A one-page description of the most interesting machine learning solution you have built.
- 1-page resume attachment in PDF format.