About Timo
Everybody dreams of being rich(er) and fears being poor. Timo supports you in achieving this dream. Financially, we support across the 5 functions of money: moving, managing, accessing, growing, and protecting your money. Being rich however means more than just having a lot of money. Enjoying a rich life includes making money more fun and emotional by embedding banking services into your lifestyle and within your social circle to unlock a truly rich life.
About The Role
A day in your life might include:
Collaborate with Timo&039;s data and data engineering team as well as other business stakeholders (Product, Growth, Strategy, Marketing teams) to understand business challenges and define suitable analytical/machine learning/statistical approaches to current business needs
Develop predictive and / or prescriptive models that allow solutions to be found to solve complex business problems:
Build and validate models to ensure precision and effectiveness of developed models
Constantly search for new tools, technologies and techniques that can be used for business cases within the company.
Translate new innovations/ developments in ML/AI and Statistics into applications in the organization
Carry out exploratory analysis prior to building models. Compile different databases (structured and unstructured) from different sources of information. Organize, clean and transform large databases in order to prepare them as input to mathematical models
Measure & improve models’ accuracy and outcomes over time
Find the right model for business questions
Package solutions as a scalable automated computing pipeline and partner with Data Engineering team to implement models in current data infrastructure
How to succeed in this Role:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Gradient Boosting, SVM, text embedding, etc.
Proven ability to apply expert knowledge of data frameworks & tools like
Strong programming skills in Python/R, demonstrated by previous actual work, industry projects, and technical artifacts that are data related.
Data Analytics Storage (Amazon Redshift / Amazon Athena / Amazon S3)
Be comfortable with ambiguity and able to balance priorities
Be willing to take actions, challenge status quo and thrive in a fast- paced and dynamic environment
At least 2 years of work experience in a Data Scientist role required
Open- source machine learning libraries such as scikit- learn, weka, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib) and deep learning framework (e.g., TensorFlow, Pytorch)
Experience with tech industry, fintech and/or e- commerce is highly preferred
Bachelor or master&039;s degree in computer science, Engineering, Data Science, Mathematics, Statistics or Business- related field
Strong machine learning/statistics background with hands- on experience in academia and/or industry including sourcing, cleaning, manipulating and analyzing large volumes of data
