Senior Data Scientist

Company:
Location: Remote

*** Mention DataYoshi when applying ***

Senior Data Scientist

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. B usinesses 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. Data Science Analyst is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization's strategies. The Data Science Analyst 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 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. Investigates data patterns and builds innovative solutions.

Responsibilities

Business Analysis

  • Partners with business stakeholders to understand and analyze high value data analysis requirements across functional areas

  • Identifies opportunities to improve organizational effectiveness with enhanced or new analysis techniques and insights, based on industry standard practices and lessons learned

  • Maintains strong focus on gathering core requirements, beyond stated requirements, and places these within broader context

  • Keeps abreast with Big data and Data Science industry trends, development and shifts, and educates and promotes them within Equinix

  • Communicates with all staff levels and backgrounds and is able to communicate technical results to non-technical team members


Stakeholder Management

  • Manages stakeholder expectations and communications within and beyond functional track

  • Knows business environment well enough to identify and proactively include correct stakeholders

  • Interacts regularly with senior management level stakeholders and engages them in current solutions, results and evolving models in ensuring results are fine-tuned constantly

  • Showcases the opportunities, solutions, models and results to solicit additional feedback and streamline/operationalize the models


Solution Design

  • Engages with business stakeholders in effective brainstorming sessions to identify opportunities and understand various internal/external factors that can impact the analysis

  • Collaborates with and across all departments to translate business needs for information and knowledge into long-term data science solutions that add value to the organization

  • Documents and builds consensus for the proposed designs and solutions

  • Analyzes and proposes 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 broad knowledge in design, development, implementation and management of data sources

  • Utilizes and engages in best-in-class technology and modeling techniques and implementation methodologies

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

  • Demonstrates advanced technical expertise responsible for exploring and analyzing data across the enterprise and presents information and key insights that support the organization's growth and sustain strategies


Documentation

  • Works across all IT teams and maintains a purview of standards and documentation of all Data Science solutions

  • Ensures documentation is complete, accurate, current and stored appropriately

  • Documents and reviews broader team documentation

  • Supports team in identifying and defining relevant documentation templates pertaining to solution delivery

  • Is a champion for knowledge transfer to enable/empower other team members


Data Management/Architecture/Design

  • Has in-depth knowledge across multiple technical environments as well as strong business acumen and can provide expertise regarding systems design, integration and performance analysis across the business

  • Understands and develops data sources and data architectures to address business requirements and to ensure scalability, reliability, security and performance

  • Keeps up-to-date with Industry trends and vendor capabilities to produce robust functional designs

  • Leads innovation in the space of Big Data by exploring, investigating, recommending, benchmarking and implementing data centric technologies, Hadoop/YARN Eco System

  • Builds solutions to bring data from various source systems both internal and external to Equinix

  • Researches and investigates alternative solutions to identify the most optimized way to collect both structured and unstructured data

  • Works with different application engineering teams to understand their requirements around data integration, processing and consumption and implement solutions to those into a central Big Data Platform


Testing & Test Design

  • Designs testing strategy and testing models to ensure quality and accuracy of data being utilized from the sources where possible

  • Tests the models and their applicability to the problem that is being solved for

  • Tracks success rates of models and continuously improves on the models based on results


Project Management

  • Manages releases and projects

  • Manages stakeholder expectations

  • Designs release scope and schedule in line with business goal, prioritization and IT capacity


Software Engineering

  • Excels in data warehousing methodologies and tools

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

  • Works with Data Mining and predictive modeling techniques, including regression analysis, clustering, decision trees and neural networks

  • Has experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), and understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop


Visualization

  • Focuses on delivering insights from data by developing context-sensitive visualizations

  • Takes the output from decision-support systems and turns it into consumable theories, postulates and hypotheses that can be tested and applied to the business

  • Demonstrates a comprehension of hard science, a sound understanding of business goals and processes and a penchant for creativity

  • Communicates with the business stakeholders

  • Designs, develops, and provides implementation of compelling data visualizations, dashboards, tools and utilities using Open Source technologies (Java/J2EE, JavaScript, HTML, CSS, Spring, JQuery, D3, React.js, etc.)

  • Analyzes techniques to organize 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

  • Performs data analysis utilizing skills, techniques and tools like SQL, Excel, statistics, Data Exploration, Visual Analytics etc.

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

  • Continuously updates machine learning models and revises algorithms to constantly improve the accuracy of analysis. Constantly reviews with stakeholders for better insights

  • Understands and advises on modeling techniques and provides guidance to the team in building efficient data models

  • 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

  • Investigates and 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

  • Collaborates with team to formulate innovative solutions to experiment and implement advanced data science solutions

  • Accountable for product release certification ensuring highest quality and customer experience


Vendor Management

  • Manages/leads individual consulting resources as assigned

  • Participates in vendor advisory boards and user groups


Vendor & Technology Evaluation

  • Executes medium-scale vendor evaluations, pricing negotiations and software acquisitions

  • Prepares management communications and gets stakeholder input for recommendations


Qualifications

  • 7+ years experience

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

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.

*** Mention DataYoshi when applying ***

Offers you may like...

  • Micron

    Senior Data Scientist Smart Manufacturing and AI
    Manassas, VA 20110
  • DMGT

    Senior Data Scientist
    New York, NY
  • Freddie Mac

    Senior Data Engineer
    McLean, VA 22102
  • CyberCoders

    Senior Data Engineer
    San Francisco, CA
  • Sensor Tower

    Senior Data Scientist, Ad Intelligence
    Seattle, WA