Data Scientist (Predictive Modeling)

Description

Job Summary: We are seeking a proactive Data Scientist to develop and validate predictive models, transforming data into actionable insights and generating business impact. Key Highlights: 1. Focus on generating business impact through data 2. Development of statistical and predictive models 3. Ability to translate data into business insights **Desired Skills:** * In addition to technical Data Scientist skills, candidates must demonstrate a proactive attitude, commitment to continuous learning, and the ability to translate data into business insights. * Experience with web and mobile app navigation data analysis is desirable. * Development of predictive statistical models (creation, analysis, and maintenance) * Development of new segmentation and predictive modeling techniques, continuously updating existing methodologies * Proficiency in natural language processing algorithms; * Experience with predictive analytics and modeling, machine learning models, * Model performance metrics: precision * Data mining, transformation, and analysis; * Conducting efficacy tests for developed models; **Desired Certifications and Knowledge** (Not all are required—only possibilities) * Algorithms and Models: Regression models, Hidden Markov models, Support Vector Machines, * Analytics: R / SAS * Databases: SQL, NoSQL (MongoDB, CouchDB, Cassandra, MemchacheDV, etc.) * Dimensionality Reduction algorithms, Ensemble algorithms, Decision Trees, Clustering. * Frameworks and libraries: TensorFlow, Theano, CNTK, scikit\-learn, Caffe, SparkMlib * Programming languages: Python, R * Big Data processes * Hadoop * Spark * Flink **Deliverables** * Drive business impact through effective use of data * Create data visualizations to explain analyses and conclusions to non\-technical audiences, including contextualizing narratives (data storytelling); * Prioritize experimentation and delivering value to end customers; * Identify business opportunities and propose Data Science solutions; * Explore large volumes of data to uncover actionable insights; * Propose, implement, and validate Machine Learning models for various purposes—including customer segmentation, product recommendation, customer retargeting, customer recurrence modeling, next\-best action modeling, product assortment optimization, among others. **MJV Benefits:** TotalPass\\Wellhub; ‍‍‍‍ Group life insurance; Meal/food allowance; Health and dental plan \- Bradesco; Training initiatives: lectures, forums, knowledge exchanges, and discussions related to our business. We maintain constant connection to learn more—together; \+MJVer Program: internal referral program where you refer a colleague to join us; if the match is successful, you receive a reward. Partnerships: want discounts? We have a Workplace group where we announce partnerships with educational institutions, language schools, gyms, restaurants, products, and other services;