Data Scientists
Honeywell Intelligrated
Devarabisanahalli Village, KR Varturhobli,, East Taluk Phase I, Bangalore, KARNATAKA, India
2d ago

Driving Infinite Possibilities Within A Diversified, Global Organization

We’re looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.

As a Data Scientist, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions.

You will work closely with application architects to integrate results into operational platforms, including Hadoop and NoSQL architectures.

Additionally, the Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.

Specific Responsibilities

Develop data analytics, data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs

Foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions

Communicate project output in terms of customer value, business objectives, and product opportunity

Promote data science methods and processes across functions

Work with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity and discover efficiencies to drive costs out of the ISC.

You must have :

  • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics or related field
  • Minimum of 3 years of experience with distributed storage and compute tools (e.g. Hive and Spark)
  • 3-5 years of experience within Analytics
  • Experience with data visualization, Tableau preferred.
  • Understanding of machine learning techniques and algorithms, such as k-NN, Logistic / Linear Regression, Naive Bayes, SVM, Decision Forests, etc.
  • Knowledge of cloud platforms AWS, Google Cloud, Azure, SnowFlake
  • Strong knowledge of SQL, Python / R, query optimization and DBMS concepts
  • Advanced knowledge of excel
  • Strong analytical skills with an inherent ability to find, understand and work with large amounts of data.
  • We value :

  • Experience bringing prototypes to production on Hadoop platforms and / or as containerized services
  • Experience with SAP HANA, Snowflake, Redshift and Tableau
  • Experience with Streaming Analytics (i.e. Spark Streaming)
  • Experience with Natural Language Processing
  • Experience working with global teams
  • Results driven with a positive can-do attitude.
  • Thrives in a rapidly changing environment.
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