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Data Scientist

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Date: Nov 12, 2020

Location: Palo Alto, CA, US

Company: NTT DATA Services

Req ID: 94197 

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Scientist to join our team in Palo Alto, California (US-CA), United States (US).

LOCATION - Needed in US 


Job Description - The Data Scientist makes value out of data by combining information from various sources and analyzing it for better understanding about how a business or process is performing.  The Data Scientist also develops AI frameworks and tools that automate certain processes.  Data Scientist duties include, developing various predictive, AI and ML based tools, processes and model to be leveraged by the cross-industry applications built on the NTT SMART Platform


  • Select features, build and optimize classifiers using machine learning techniques
  • Perform data mining using state-of-the-art methods
  • Extend company’s data with third party sources of information when needed
  • Enhance data collection procedures to include information that is relevant for building analytic systems
  • Process, clean, and verify the integrity of data used for analysis
  • Perform ad-hoc analysis and present results in a clear manner
  • Create automated anomaly detection systems and constant tracking of its performance  


Basic Qualification:


  • 10+ years of overall technology experience, with - years of data science and data analysis experience
  • 3+years of experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • 3+years of experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
  • 3+years of experience with data visualization tools, such as D3.js, GGplot, etc
  • 3+years of experience using query languages such as SQL, Hive, Pig and systems like SPARK.
  • 3+years of experience with NoSQL databases, such as MongoDB, Couchbase, or Cassandra
  • 3+years of experience with applied statistics skills, such as distributions, statistical testing, regression, etc
  • 3+years of experience with scripting and programming skills


Nice to have:


  • 3+ years of experience with NoSQL databases, such as Cassandra, MongoDB, or CouchDB
  • 3+ years of experience with various messaging systems, such as MQTT or RabbitMQ
  • 3+ years of experience working in public cloud environments like AWS, Azure.
  • 3+ years of experience with assisting Data Scientists with conforming and integrating data, data preparation and data cleansing, and then automating that work over time.
  • 1+ years of solid understanding of Lambda Architecture, along with its advantages and drawbacks
  • 2+ years of experience with Cloudera/MapR/Hortonworks
  • 2+ years of experience working in large-scale, highly complicated and global environments – Japan experience is a plus
  • 2 + years of experience with SQL and RDBMS systems for analytic querying
  • 2+ years of experience using various ETL techniques and frameworks, such as Flume and Informatica
  • 2+ years of experience using Big Data querying tools and approaches including Parquet, Hive, and Impala
  • A strong team-oriented mindset
  • Advanced technical degree
  • 3-5 years of experience operating successfully in large-scale, highly complicated and global environments – Japan experience is a plus



About NTT DATA Services

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

NTT DATA Services is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, gender, disability, age, veteran-status, sexual orientation, gender identity, or any other class protected by law.

Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

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