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Senior Data Science Analyst

 

Senior Data Science Analyst

  • JR-121713
  • Redwood City
  • Frisco
  • Data Science, Reporting and Analytics
  • Full time
Senior Data Science Analyst

Equinix is the world’s digital infrastructure company, operating 210 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

 

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams.  

 

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Job Summary: Partners with the business and IT community to ensure that the right people have access to the right data in the right format at the right time. This Data Scientist is an advanced technical professional responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization's strategies. The Data Scientist has in-depth knowledge across multiple technical environments as well as strong business acumen and provides expertise regarding systems design, integration and performance analysis across the business. The role expects the knowledge of data wrangling and data analysis for better storytelling with data. The role promotes shared infrastructure and applications to reduce costs and improve information flows, and it ensures that new technology solutions do not duplicate functionality or diverge from each other and business and IT strategies. Takes direction from leads and continues to develop hands-on knowledge.

Responsibilities

Business Analysis

  • Takes direction from lead analysts on identified opportunities and improves organizational effectiveness with enhanced or new analysis techniques and insights

  • Participates and learns on gathering core requirements within broader context

Visualization

  • Ability to provide storytelling with data. Engage in knit various data from different data sources and build compelling story to enable better insights into data

  • Analyze and investigate various data using visualization techniques using tools like Tableau, Power BI

  • Experiment with data using advances analytics techniques to identify unique insights in data and share them to stakeholders

  • Develops compelling data visualizations, dashboards, tools and utilities using Open Source technologies (D3, React.js, etc.) and tools like Tableau, Power BI, etc.

  • Organizes data in visually innovative ways in order to make it easy to understand to the stakeholders and technical folks at the same time

Data Modeling & Analysis & Wrangling

  • Understands relationships between data elements in different sources and builds models to help analyze

  • Works with large volumes of data; extracts and manipulates large datasets using standard tools such as Python, Hadoop, R, SQL, Spark, etc.

  • Analyzes and cleans data needed for various data science projects

  • Communicates data patterns identified in both internal and external data using various wrangling techniques

  • Helps in data discovery and evolving use cases to identify prediction/prescriptive solutions

Stakeholder Management

  • Understands stakeholder expectations and communications within the area of delivery

  • Takes direction to identify and include correct stakeholders

  • Interacts regularly with the team in reviewing current solutions, results and evolving models in ensuring results are fine-tuned constantly

Solution Design

  • Participates in brainstorming sessions to understand various internal/external factors that can impact the data analysis

  • Participates in solutions to assigned requirements

  • Participates with the team to analyze and propose innovative solutions to replace legacy systems and data, such as individually-created and widely dispersed databases and spreadsheets, to better align with Equinix enterprise information standards and strategies

  • Applies knowledge in design, development, implementation and management of data sources

  • Learns and applies modeling techniques and implementation methodologies

  • Utilizes basic statistical models, algorithms and machine learning models in designing the solution

  • Develops technical skills in exploring and analyzing data across the enterprise and presents information and key insights that support the organization's growth and sustain strategies

Documentation

  • Documents project deliverables in collaboration with teams and business users

Data Management/Architecture/Design

  • Develops knowledge across a few technical environments

  • Understands and develops data sources and data architectures to address business requirements

  • Follows Industry trends and vendor capabilities to produce robust functional designs

  • Understands innovation in the space of Cloud Big Data by exploring and implementing data centric technologies, on Data Platforms like GCP, AWS

  • Under direction, builds solutions to bring data from various source systems both internal and external to Equinix

Testing & Test Design

  • Understands the business problem and technical design and develops test cases in alignment

  • Collaborates with senior BSAs and technical team to develop test cases

Project Management

  • Manages end-to-end delivery of enhancements

  • Plans the delivery cycle in line with release goals

Software Engineering

  • Develops skills in data warehousing methodologies and tools

  • Learns and works with scripting/programming languages (Perl, Python, PHP, Java, VB, C#, R, etc.) in developing solutions

Vendor Management

  • Assists vendor resources with onboarding activities through all Equinix channels: email, laptop, access to systems, workspace, etc.

Vendor & Technology Evaluation

  • Conducts analysis on vendor and application options, i.e., Magic Quadrant, as a key input to selection cycles

  • Assists in building RFP documentation and selection criteria tools

Qualifications

  • 5+ years experience

  • Bachelor's in Data Science, Computer Science or Machine Learning

Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

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Equal Employment Opportunity: 
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

(US Applicants)

Please click here to see the “EEO is the Law” poster and supplement.

Please click here to see our EEO Policy Statement.

Please click here to see our Pay Transparency Policy Statement.