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Big Data Analytics Process

Pay
Pay not listedSimilar roles state $118K–$194K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Work with business users to identify and prioritize analytics use cases

  • Process, cleanse, and verify the integrity of data used for analysis

  • Apply statistical methods and advanced analytics to large data volumes

  • Present data insights using high-impact visualizations

From the employer’s posting
Collaborate with business users to identify, elaborate and prioritize Analytics Uses cases.
Processing, cleansing, and verifying the integrity of data used for analysis
Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced analytics techniques.
presenting data insights using high impact visualization

What you’ll bring

All qualifications

Core experience

  • 8+ years applying data mining, AI, or machine learning in analytics settings
  • Master's or PhD in Mathematics, Statistics, Computer Science, Operations Research, or Engineering Science
  • Experience with R, Python, Hadoop, or similar statistical and big data tools
Qualification wording
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
Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.
Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.)
Education & alternatives
· 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
Apply at TestingXperts

Posting record

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Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026128 days ago
Recorded sightings
82
Last seen by us
Nov 8, 2026
Employer says posted
Mar 28, 2017

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$194K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,757 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 128

Up longer than most. Similar jobs usually come down between day 7 and day 57.

From 10,595 similar postings that came down. Coming down is not always a hire.

TestingXperts is hiring

16 open jobs

  • No new data jobs since July
  • Its jobs tend to stay up a long time
Hiring record

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  • Python
  • R
  • Hadoop
Where the posting names them
· 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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,803.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

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.

Qualifications

Graduates

Additional Information

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

Company Description

Greetings for the day!

My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology solutions company, offering industry-specific solutions to our fortune 500 clients and worldwide corporations.

Thanks & Regards,

Suneetha. G

+1 631-759-8044 EXT 303 (O)

+1 347-826-3427 (F)

Source details

View original posting ↗

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Pay

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Location & working pattern

Houston, TX, United States

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