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Data Scientist, NLP, AWS, Python, GenAI, ML, AI, Data Cleansing, SQL, Scikit Learn
Intelliswift Software • Lewisville, TX 75029 • Posted 2 days ago via LinkedIn
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In-person • Full-time • $45.00-$50.00/hr • Contract • Mid Level
Job Highlights
Using AI ⚡ to summarize the original job post
Intelliswift Software is seeking a Data Scientist with 4-8 years of experience for a contract to hire position in Coppell, TX. The role involves solving business problems using various data science techniques, developing analytic plans, building and operationalizing data pipelines, and implementing Gen AI. The position requires onsite work and is open to US citizens, Green Card holders, or those in the final stages of obtaining a Green Card. The role pays $45-50 W-2.
Responsibilities
- Solve business problems using bootstrapping, decision trees, natural language processing (NLP) and market basket analysis
- Develop experimental and analytic plans for data modeling processes
- Build and operationalize data pipelines, analytical tools and decision support models
- Pursue predictive analytics opportunities to solve business problems
- Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts
- Lots of data cleansing
- Developing, and maintaining dashboards and visualizations
- Communicating technical ideas to stakeholders
Qualifications
Required
- Bachelors in Data Analytics, Data Science or similar
- 4-8 years of experience as a Data Scientist
- Solid experience in data cleansing
- Coding in Python or R
- Experience in model building with frameworks such as Scikit-learn, TensorFlow, Transformer
- Experience with Natural Language Processing (NLP), GenAI, AI, ML, Machine Learning – Supervised and Unsupervised Machine Learning
- Experience in cloud, preferably AWS
- Writing and tuning SQL
- Experience performing thorough exploratory analysis
About Intelliswift Software
Intelliswift is a globally recognized IT service provider specializing in cutting-edge technology solutions such as digital product engineering, data management, analytics, cloud computing, and staffing services. With a focus on innovation and a team of skilled professionals, they cater to various industries like Pharma, BFSI, and Retail, aiming to create a robust technology ecosystem that drives business value and digital transformation. Partnering with Fortune 100 and Fortune 500 organizations, Intelliswift offers secure, scalable, and customer-centric IT architectures.
Full Job Description
Location: Coppell, TX 75019
Type: Contract to Hire
Title: Onsite Data Scientist, NLP, AWS, Python, GenAI, ML, AI, Data Cleansing, SQL, Scikit Learn
Description:
Data Scientist with 4-8 years in Data Scientist, Python, Natural Language Processing (NLP), ML, AWS for a contract to hire position onsite.
100% onsite to the Coppell, Dallas area, must be local, no relocation.
This position pays $45-50 W-2.
Must be US Citizen, Green Card Holder or EAD in final stages of Green Card, no OPT, sponsorship.
Working in all aspects of the data science cycle.
What you will be doing:
Solve business problems using but not limited to bootstrapping, decision trees, natural language processing (NLP) and market basket analysis
Develop experimental and analytic plans for data modeling processes
Build and operationalize data pipelines, analytical tools and decision support models
Pursue predictive analytics opportunities to solve business problems
Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts
Lots of data cleansing
Developing, and maintaining dashboards and visualizations
Communicating technical ideas to stakeholders
What you will need:
Bachelors in Data Analytics, Data Science or similar
4-8 years of experience as a Data Scientist
Solid experience in data cleansing
Coding in Python or R
Experience in model building with frameworks such as Scikit-learn, TensorFlow, Transformer
Experience with Natural Language Processing (NLP), GenAI, AI, ML, Machine Learning – Supervised and Unsupervised Machine Learning
Experience in cloud, preferably AWS
Writing and tuning SQL
Experience performing thorough exploratory analysis
Positive, can-do attitude, curious, self-driven, analytical and excited to play with data
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