Droste is a consultancy that leverages data and analytics to transform the way our clients solve their most critical business problems. The software we create has been used to predict failures in power plants, identify the likelihood of a person defaulting on a loan, understand retail customer preferences, and provide low-latency exchange rates for 100s of fiat and crypto currencies.
Though supported by data engineers, data wranglers and fellow data scientists, you are a field agent immersed in the client's domain and responsible for the project from start to finish. We're a small outfit, so everyone on the team is nimble, but we love sharing and make sure everyone gets a chance to pick up the latest skills in the field.
Our clients are in finance, eCommerce, logistics, and have interesting challenges and datasets. So if you're looking for variety in your work, you'd be working on exploratory data analysis, data cleansing, data modeling, visualization design, and storytelling across all of these domains.
Primarily you would be working with Python and SQL databases for most of your engagements, but having familiarity or experience with R and NoSQL databases would be helpful because our clients use a wide array of technologies.
Develop machine learning models to surface and track trends, patterns and correlations in data.
Communicate with clients about their business goals and recommend data strategies.
Work with or lead a small team of data analysts, data wranglers, and software developers.
Design and present concise, rich, and engaging stories based on analysis of customer data.
Extend customer's data with both internal and external data sources of information.
Import, clean, convert and verify the integrity of data used for analysis.
Design, create, and modify data schemas.
Enrich static data with data flows from alternative sources for use in real-time applications.
Present data in graphs, charts, tables, dashboards, etc.
Participate in the development and delivery of schedules, track and report progress, identify and report success criteria.
Assist with the development and management of sales pipeline.
Periodically run data science workshops and client trainings.
Experience developing, testing, and delivering analytical solutions.
Experience leading a team and/or independently leading customer engagements.
Strong background in machine learning, data analytics, and data analysis.
Deep experience with Python, Pandas, Jupyter, SciKit-Learn, NLTK and related data science libraries.
Experience with TensorFlow, MxNet, Torch, Caffe, or other deep learning frameworks is a plus.
Experience with Spark, Mahout, Weka or any other Java Machine Learning technologies is a plus.
Previous consulting experience is a big plus.
Experience with R is a big plus.
Experience with Tableau, Qlik, or similar tools is helpful.
Fantastic communication and interpersonal skills in English.
Fluent Cantonese and/or Mandarin is a big plus.
Above market salaries
Spacious office close to the Sheung Wan MTR.
Flexible working hours and holiday policy.
Flexible work location - many of us do part-time remote.
Open and positive work environment with smart and interesting colleagues.
Work with the best-in-class tools (e.g. GitHub, Slack, GDocs.)
You will be working with Mart van de Ven .
Equity part is negotiable.
Salary range / month : HK$ 40k-60k