Senior Data Scientist

Posted 22 Days Ago
Alexandria, VA, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning
The Role
Develop machine learning classifiers, scalable analytics programs, and automated anomaly detection systems. Process and validate structured and unstructured large datasets, improve data collection, perform ad hoc analysis, and clearly present results. Work across development and data science, using Hadoop, Hive, HDFS, Spark, Elasticsearch, Zeppelin, Python, Java, and data science libraries. Apply statistics, machine learning algorithms, data visualization, and NoSQL technologies.
Summary Generated by Built In
Company Description

Satsyil is not a typical software solution company. Talented, hardworking, practiced professionals and principled people who are passionate about customers and software, brought together because they want to provide very affordable, simple and amazing solutions.

Job Description

Looking for Candidates with the following skills in priority order, also we are expecting the person to do both development and data science analytics work, most likely 50% development and 50% data science work:

  1. http
  2. elastic search
  3. Apache zeppelin
  4. data science
 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Ability to work with Hadoop/Hive/HDFS/Spark environments to be able to experiment and write the scalable programs.
  • Ability to work with structured and unstructured datasets.
  • Ability to work with large datasets.
  • 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. 

Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Strong mathematical academic background.
  • Experience with common data science tool-kits, such as NumPy, SciPy, NLTK, matplotlib, pandas, xlrd.
  • Experience with data visualization tools like Kibana/Grafana.
  • Experience in using Zeppelin type of tools for quick scripting.
  • Proficiency in using query languages such as Hive.
  • Extensive experience in using HDFS/HIVE/Spark environments.
  • Experience with NoSQL databases.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills (Python, Java – especially  using Spark).
  • Data-oriented personality.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • Excellent understanding of machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, and Decision Forests
  • Strong mathematical academic background
  • Experience with NumPy, SciPy, NLTK, matplotlib, pandas, and xlrd
  • Experience with data visualization tools such as Kibana and Grafana
  • Experience using Zeppelin-type tools for quick scripting
  • Proficiency with query languages such as Hive
  • Extensive experience with HDFS, Hive, and Spark environments
  • Experience with NoSQL databases
  • Applied statistics skills, including distributions, statistical testing, and regression
  • Good scripting and programming skills in Python and Java, especially using Spark
  • Data-oriented personality
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The Company
60 Employees
Year Founded: 2012

What We Do

Satsyil is a technology-focused IT services company that develops and manages solutions for government, healthcare, insurance, and commercial organizations. Its capabilities include artificial intelligence and machine learning, data science, cloud engineering, big data, advanced search, robotic process automation, software and enterprise solutions, digital transformation, and customized technology services. The company emphasizes quality, innovation, and customer-focused delivery.

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