Do you love building a new modern web application in a collaborative environment?
Do you think that it might be helpful to make a difference in how humanity understands humanity?
Then please do get in touch. The world needs you!
We are looking for a data scientist who will help us:
innovate new product dimensions with product management
propose means to discover the insights hidden in our data
help us make smarter decisions to deliver better products
ease decisions by analyzing company data
roadmap our technology evolution
formulate our data strategy development
deliver quality data outputs
Your main focus will be:
creating our data strategy
adding value to our product innovation
leveraging our smart data approach
applying data analysis techniques
doing statistical analysis and gain insights
building high-quality systems integrated with our products
delivering added value insights to our members
We offer you a chance to make it big, as a direct shareholder, when we all as a team pull it off. The potential for a vast global impact is there, for us to realize. Now it still a great time to join for direct shareholding. Please note that this is not a full-time position nor salaried until we as a team are successful in funding or revenue generation.
Designing features on a roadmap from simple smart data solutions to using machine learning techniques, NLP and more broadly AI with product, technology and design
Data mining using state-of-the-art methods as our data grows
Extending the company’s data with third party sources of information when relevant
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Develop company A/B testing framework and test models
Also, coming up
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Creating automated anomaly detection systems and constant tracking of its performance
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Strong problem solving skills with an emphasis on product innovation and then development
An innovative mindset to suggest new ways in which to add value to our members
Strategic interest to grow our technical capabilities on a roadmap
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
Experience working with and creating data architectures
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques
An ambition to make a difference in the world to how data analysis might help humanity make sense of itself
We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Querying databases and using statistical computer languages: R, Python, SLQ, etc.
Using web services: Redshift, S3, Spark, Azure (or similar), etc.
Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
Analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Using distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, Neo4j etc.
Visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Using common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
Good scripting and programming skills for intergration with the application/platform (node.js, react)
A curiosity about the potential of data
Ability to work in a remote team
Self-starter and innovative mind
Hands on with ambition to grow
Agile and scrum are familiar
Ability to train those not savvy in data analysis on its potential
Ready to build something new in a startup with a mindset of discipline, team work and achievements
20hrs per week on average
Remote team - mostly living in Helsinki, Finland
At the moment, we cannot be a sponsor of a work permit. If you wish to work in Finland, applicants should hold a work permit valid until (at least) late 2020.
We use English as our working language.
You gain direct ownership in the company if you join before the MVP or funding.
We have a team who seek their daily bread from different sources and their future potential with Hunome.
Naturally, once we have successfully executed the MVP and growth towards our public launch (2020), then we seek funding and will pay salaries.
We come together as a team every six to eight weeks in weekend Playshops in Helsinki, and will do so again as the virus recedes, and otherwise use Slack, Trello and more to ensure we all stay informed and aligned.
This job comes with several perks and benefits
Want to be a partner? Look no further.