A Data Scientist, work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions.
These solutions will generate insights from our connected data, enabling the team to advance the data-driven decision-making capabilities of our enterprise .
This role requires deep understanding of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engine and services.
Responsibilities
Data mining, cleaning : identify and merge relevant data and sources, test data quality, identify and resolve any irrelevant, corrupt, missing, or incongruent data;
Quick learner to business needs and translate them into potential analytics solutions
Data analysis & ML : lead and design analytics approach (algorithm selection, architecture design of tools / techniques).
Should be comfortable with both mathematical / statistics concepts, and application of techniques.
Software development : write reusable, version controlled code that can be scaled, deployed, distributed
Documentation : capture model design choices, algorithm selection process, dependencies, preprocessing, feature generation
Value assurance : work with business process owners to validate model outputs, construct appropriate trainings, tune models and ensure value created from models
Problem framing : participate in problem framing together with business owners for identified opportunities
Requirements
A degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics.
Knowledge on Machine Learning, Python and SQL.
Familiarity with Python Library, such as : scikit-learn, TensorFlow, Keras and Pytorch
Advanced methods : additional specialization in an advanced area / domain (e.g., NLP, RNNs)
Advanced / Fluent English
Differential
Knowledge on time series model and predictive maintenance
Experience with Cloud : Azure, AWS or Google Cloud Platform
Experience working on a collaborative Agile product team
Benefits
PPR : varies according to the professional's performance and the company's profits;
Health plan : expandable to dependents without co-payment or payroll deductions for themselves or their dependents;
Dental Plan : expandable to dependents without co-participation or payroll deduction for themselves or their dependents;
Life Insurance : no co-payment or payroll deduction;
VA / VR : Transferred to the Flash benefits card;
Corporate education incentive : we are finalizing the points regarding this benefit;
Daycare allowance : for dependents up to 5 years old;
Referral program : program to refer professionals in which the new Shaper is contemplated after his / her referral completes 3 months of service;
Mentoring : with Shape leadership, aiming career development. 
