Senior Data Scientist: Advanced Analytics & AI (8+ yrs)

TestingXperts

Houston (TX)

On-site

USD 120,000 - 160,000

Full time

5 days ago

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Qualifications

8+ years of applying data mining, AI, ML, or related techniques in analytics or engineering settings.
Strong ability to communicate data-driven insights to non-technical audiences.
Must have experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop).

Responsibilities

Collaborate with business users to identify, elaborate and prioritize analytics use cases.
Processing, cleansing, and verifying the integrity of data used for analysis.
Apply analytical rigor and statistical methods to analyze large data sets and present insights with high-impact visualizations.

Skills

Data mining

Machine learning

Education

Master's or PhD in Mathematics/Statistics/Computer Science/OR/Engineering Science

Tools

Python

Job description

Job Description

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.