Demo

Data Scientist

ConnectedX Inc.
Plano, TX Contractor
POSTED ON 2/18/2025
AVAILABLE BEFORE 4/14/2025

Who we are:

ConnectedX is focused on Digital Transformation and Product Engineering Services, enabling clients achieve their business, operating and technology needs for the digital age. Our unique industry-based, consultative approach helps clients implement digital transformation initiatives. Headquartered in Dallas, Texas, U.S. ConnectedX is a preferred partner for leading Fortune 1000 enterprises and is consistently admired by the clients and employees across the globe.

Role: Data Scientist

Plano, TX (Hybrid)

Duration: 12 Months Contract

What you bring:

• Strong experience manipulating data set and building statistical models, has master’s or Ph.D. in statistics, mathematics with focus on ML, NLP, machine learning or another quantitative field.

• Strong Knowledge and experience in statistical and data mining techniques – GLM/regression, Random Forest, Boosting, text and data mining.

• Experience querying database and using statistical computer languages : R , Python, SQL etc.

• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, , MySQL, etc.

• Experience visualizing/presenting data for stakeholders using: Tableau, Business Objects, D3,

• Exp with Prescriptive analysis, predictive analysis.

• Exp leveraging big data and search technologies (e.g., Spark, Elastic Search, Natural Language Processing, Web Crawling) .

• Knowledge of machine learning techniques and algorithms and be able to apply them in data driven natural language processing techniques.

• Ability to quickly prototype ideas / solutions and perform critical analysis and using creative approaches for solving complex problems.

• Exp with Automotive analytics a PLUS

• Excellent written and verbal communication skills

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