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nybl · 1 month ago

Data Analyst / Data Scientist (Remote)

United States

Full-time

Remote

Mid Level

Nybl is looking for the next generation of data scientists to join their team. The role involves transforming data into intelligence by developing innovative AI solutions and integrating them with IoT technologies, while collaborating closely with the team to identify issues and propose data-driven solutions.

EnergyHealth CareInformation ServicesInformation TechnologyMachine LearningManufacturingOil and GasSmart CitiesSoftware

Responsibilities

Work closely with nybl to identify issues and use data to propose solutions for effective decision making

Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation

Use machine learning tools and statistical techniques to produce solutions to problems

Test data mining models to select the most appropriate ones for use on a project

Maintain clear and coherent communication, both verbal and written, to understand data needs and report results

Create clear reports that tell compelling stories about how customers or clients work with the business

Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods

Horizon scan to stay up to date with the latest technology, techniques and methods

Conduct research from which you'll develop prototypes and proof of concepts

Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work

Qualification

Machine LearningStatistical TechniquesBig Data AnalysisData VisualizationProgramming LanguagesWeb DevelopmentData ArchitectureCuriosityIndependenceCommunication Skills

Required

Experience and knowledge in statistical and data mining techniques using (e.g., python, R, SQL)

Experience and knowledge in applying advance Machine Learning techniques (e.g., Neural networks, supervised and unsupervised ML, computer vision and image processing, text analysis)

Experience and knowledge in big data analysis and management and distributed computing tools (e.g., Hadoop, Hive, Spark)

Experience and knowledge in one or more programming languages (C, C#, Java)

Experience and knowledge in web development frameworks (javascript, React, node.js)

Experience analyzing data from 3rd party providers: (e.g., Google Analytics, Site Catalyst, Facebook Insights)

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc

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

Willingness to learn new technology

Able to work independently on researching solutions and applying findings