Job Details

Data Scientist

MBR Partners
MBR Partners

Data Scientist
Location: Folsom, California
Please only apply only if you have Permanent right to work in USA

Main purpose of role

contributes by executing Data Science
putting in place the data science practice within the organization while collaborating with telecommunications customers, partners, product managers, software architects and engineers across the globe
develop, manage, and improve the outputs of Descriptive, Predictive and Prescriptive models and statistical analysis
to ultimately develop a machine learning and artificial intelligence product line fuelling the rest of the product portfolio
aiming to allow customers to better predict and automate repetitive service assurance tasks like predicting failures/bottlenecks and root causes

Key Role Responsibilities

leading and pioneering the exploration, development and evaluation of new algorithms and technologies to resolve specific business problems in the industry
Taking the AI/ML research studies and results from concept to production-quality code ready for deployments at customers.
projects cover many fields of computer science including supervised & unsupervised machine learning, natural language processing, anomaly detection and graph theory.

It is a great opportunity to discover a faster than ever moving Telco industry and where the AI/ML is a key must-have enabler to address industry challenges
Playing a strategic role in the digital transformation and disruptive innovation we are creating.

The Person

Skills (technical and non-technical) & Qualifications
Must have

• Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness

• Significant experience with event and time-series data analytics

• Cutting edge experience with cloud-based and Big Data advanced predictive modeling and statistical analysis tools being integrated with other software systems using heterogeneous querying and API methods

• Experience in applied data analysis, particularly in applied predictive modelling and statistical analysis solving descriptive, predictive and ideally prescriptive analytics use cases

• Ability to apply knowledge of statistical and mathematical principles to achieve and scientifically demonstrate successful use case outcomes

• Demonstrated experience in using supervised, un-supervised and re-enforcement Machine Learning and Neural Networks algorithms not only in laboratory and experimentation context but commercial and applied applications

• Experience in R statistical modelling language, SCALA and PYTHON and overall familiarity with programming principles and best practices

• Any involvement in a project to implement a machine learning model from scratch would be a distinct advantage

• Eager to learn attitude for logical problem-solving skills

• Enthusiastic, can-do attitude who can work independently as well as contribute with the team

• Successfully balance multiple competing priorities and meet deadlines

• Strong attention to detail

• Strong analytical skills


• Exposed to Closed-loop and re-inforcement learning involving a strong level of interaction with other systems

• Familiar with software Policy Management principles

• Familiarity with cloud computing and big data technologies.

• Experience with version control platforms (git, svn, etc.)

• Developed skills using Apache Spark Machine Learning Language

Experience & Expertise • Experience with statistical software

• Undergraduate or advanced degree in Statistics, Mathematics, or a related quantitative field

• Completed formal training in statistical and mathematical theory

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