C Models, Inc. is a Product Design Company, which provides technology solutions and services to individuals, communities, and organizations in any area of their life. C Models, Inc. is specialized in product, project and solution-based engagements. Our goal is to improve the lives of people in this world. We will be the best place to work for people who share our passion. Together we will deliver superior value for our customers and for the Company.
We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. “Mobile users / audience segmentation”, “automate scoring using machine learning techniques”, “build recommendation systems”, “improve and extend the features used by our existing classifier”, “develop internal A/B testing procedures”, “build system for automated fraud detection”, etc.
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
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
Creating automated anomaly detection systems and constant tracking of its performance
Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, identify opportunities, discover solutions, and deliver actionable business insights.
Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
Handle both parts of the Research & Development process, including clean, rigorous implementations of devised models inside our Analytics system.
Communicate data-driven insights and recommendations to key stakeholders.
Be in constant communication with team members and other relevant parties and convey results efficiently and clearly via Slack.
Be persistent, focused, and disciplined when it comes to finishing your work.
Skills and Qualifications
Engineering Degree or Equivalent Certified professional with Data-oriented personality
4+ years of professional experience in data science, doing exploratory data analysis, testing hypothesis, and building predictive models.
You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights.
Ability to quickly and accurately understand complex new concepts.
Good scripting, programming skills and Excellent communication skills
A strong background in advanced mathematics, in particular in probability theory and statistics, data mining, and machine learning.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Proficiency in a programming language of your own choice (R, Python, Matlab, etc.), and previous experience efficiently conducting research and creating ad hoc reports.
Common data science toolkits, such as R, Weka, NumPy, MatLab, Excellence in at least one of these is highly desirable
An excellent ability to learn new programming languages quickly and effectively.
Big pluses include: strong experience managing or shipping out a product, managing a team, and working on open source projects.
Experience with data visualization tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Experience with offline storage, threading, and performance tuning
Ability to design applications around natural user interfaces, such as “touch”
Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
Knowledge of the open-source Android ecosystem and the libraries available for common tasks
Ability to understand business requirements and translate them into technical requirements
Familiarity with cloud message APIs and push notifications and RESTful APIs to connect iOS applications to back-end services
Strong knowledge of Android UI design principles, patterns, and best practices
A knack for benchmarking and optimization
Understanding of Google’s Android design principles and interface guidelines
Proficient understanding of code versioning tools, such as Git and Familiarity with continuous integration
Experience to integrate Fabric Crashlytics and Google/Flurry Analytics in framework.
Hours to be determined
More than 3 months3+ monthsProject LengthDuration
I am willing to pay higher rates for the most experienced freelancers