Big Data Analytics Process

Role: Big Data Analytics Process

Location: Houston, TX

Job Description:

· Must Have Skills (Top 2 technical skills only)
Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings

· Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.)

· Nice to have skills (Top 2 only)
A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods

· Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately.

· Desired years of experience : 8+ Years

· Education/ Certifications (Required) : Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.

· Top 3 responsibilities you would expect the subcon to shoulder and execute:
1. Collaborate with business users to identify, elaborate and prioritize Analytics Uses cases.
2. Processing, cleansing, and verifying the integrity of data used for analysis
3. Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques. And, presenting data insights using high impact visualization

· Will the candidate be client facing and/or working with business users? Yes

· What is the team size, make up, culture, soft skills, and dress code, Hours?
The data scientist role will support Information Technology (IT) team to engage with business stakeholders on their advanced analytics requirements.

Graduates

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