Data Analytics i Stockholm

Ericsson is a world-leading provider of telecommunications equipment & services to mobile & fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, & more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business & society, we are working towards the Networked Society, in which everything that can benefit from a connection will have one. At Ericsson, we apply our innovation to market-based solutions that empower people & society to help shape a more sustainable world.

We are truly a global company, working across borders in 175 countries, offering a diverse, performance-driven culture & an innovative & engaging environment where employees enhance their potential everyday. Our employees live our vision & core values. They share a passion to win & a high responsiveness to customer needs that in turn makes us a desirable partner to our clients. To ensure professional growth, Ericsson offers a stimulating work experience, continuous learning & growth opportunities that allow you to acquire the knowledge & skills necessary to reach your career goals.

We welcome the opportunity to meet you!

Position Summary

Are you passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers?

We are looking for a Data Analyst 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 radio products. 

You will become a dynamic player regarding our radio products datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. You will work within a cross-functional team where members are top of the class engineers in the radio domain.

Responsibilities & Tasks

• Participate to Radio Product design projects from concept through production
• Selecting features, building and optimizing classifiers using machine learning techniques and statistical methods
• Data mining using state-of-the-art methods
• 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

Position Qualifications

Core Competences:

• Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Capable to analyze large, complex, multi-dimensional datasets with a variety of tools

• Excellent understanding of machine learning techniques and algorithms (ex: k-NN, Naive Bayes, SVM, Decision Forests, etc.)
• Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS
• Great communication skills and capable to adapt the message to different audiences
• Good scripting and programming skills like SQL, Python, Java and C/C++
• Good knowledge of relational databases and experience writing advanced queries
• Knowledge of Hadoop-based data mining frameworks and Elasticsearch a plus
• Analytical mindset
• Capable to adapt and respond to Change

Minimum Qualifications & Experience Requirements:

• Degree in Computer Science or Mathematics focusing on operations research, applied statistics, data mining, machine learning or related field.
• 0 to 2 years’ experience (if with data analytics even better)
• English Skills

Preferred Qualifications & Experience Requirements:

• Structured way of working: both for finding solutions and sharing with others
• Capable of decision-making based on comparison analysis proposals
• Creating & Innovating

Additional Requirements, Physical Demands, Region/Local Specifications:

• Knowledge Sharing & Collaboration Skills
• Communication Skills

Application Process:

The selection and interview process is ongoing. Therefore, send in your application in English as soon as possible. For any questions and clarifications reach out to the recruiter, Sara Andersson . Last day of application:30 of July 2018. Welcome with your application!

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.

Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.

Primary country and city: Sweden (SE) || || Stockholm || IT

Req ID: 245534