Description
We are looking at 2/3 resources at mid and senior level of Bigdata engineering to work onsite at client location in Stockholm for Antuit.
Antuit, a global analytics and big data solutions provider, has a Laser focus on helping leading brands better understand how to become more profitable by attracting and retaining their customers. We collect and analyze data from disparate sources to deliver real impact to businesses such as retailers, consumer products manufacturers, insurers, banks and telecoms providers-companies whose success vitally depends upon understanding the consumer.
We're known for our ability to connect the dots, interpreting both structured data such as store reports and the world of social media in creative ways that give our clients real insights that add up to more profitability and competitive advantage. As a company, we deliver solutions that take advantage of both the left and right-brain, delivering a potent combination of logic, science, speed and out of the box thinking.
Backed by leading equity investor Goldman Sachs, Antuit, although a young company, is already the analytics solutions firm of choice for some of the world's leading brands. With operations in the US, Singapore, India, the UK, Australia, New Zealand and Japan, we are poised to rapidly scale through both organic and inorganic growth. What's missing in our team is a highly accomplished marketing director to develop and exploit our brand.
Key Skills:
Senior-level ML engineer (Experience: 5-7 years)
- Experience parametrizing and modularizing data science code/(s) and making them production ready.
- Experience of implementing machine learning algorithms such as logistic regression and random forests etc. in production environment.
- Experience with scientific Python libraries (numpy, scipy, scikit-learn, pandas, etc.)
- Experience with R (dplyr, etc.)
- Experienced with optimization methods and toolkit
- Builder skill set that understands end-to-end analytic pipelines, with some or all of the following:
- General cloud devops - provisioning, configuration management, version control
- Familiarity with Azure with storage and compute elasticity
- Familiarity with NoSQL (document/blob storage) and SQL (Hive, Postgres, etc) data models
- Deploying, scheduling, monitoring and supporting ETL and modelling workflows
- Possible platforms include Airflow, Luigi, Pachyderm, Jenkins
- Experience with unit and integration testing, particularly for data science applications
- Comfort with Shell Scripting in Linux environment
Mid-level data engineer/scientist (Experience: 3-5 year)
- Expert familiarity with SQL and Python as Scripting language.
- Experience with Hive and Spark (PySpark) a big plus
- Familiarity with building and QA'ing ETL workflows
- Database query tuning and optimization a plus
- Ability to translate logical requirements into data deliverables
- Experience working with data science model output and business logic a huge plus
Preferred Education and Experience
Bachelor's Degree in computers along with experience building big data solutions