SENIOR DATA SCIENTIST

Rapinno Tech; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A prominent technology company is seeking a Senior Data Scientist with a minimum of 12 years of experience in data science and machine learning. This hybrid role based in Irving, TX requires significant expertise in analyzing big data, developing statistical models, and leading large scale data initiatives. Candidates should possess a Bachelor's degree, extensive hands-on experience with Python and cloud platforms like AWS or GCP, alongside strong problem-solving and communication skills.

Qualifications

• Bachelor's degree with 6+ years of experience in data science.
• Hands-on experience in building machine learning models.
• Proficiency in Python, R, and Linux shell scripting.

Responsibilities

• Analyze big data and build statistical models.
• Lead data science projects and deliver solutions end to end.
• Develop models and build data pipelines in a cloud environment.

Skills

Machine Learning

Python

Data Analysis

Statistical Modeling

Problem Solving

Communication

Education

Bachelor's degree in a relevant field

Master's degree in Computer Science or related

Ph.D. in relevant field

Tools

Python

PySpark

SQL

AWS

GCP

Job description

Position: Senior Data Scientist (12+ years minimum exp) Need a Rockstar candidate

Location: Irving, TX/ CA / Alpharetta, GA / Basking Ridge, NJ Hybrid (This is not a remote role)

Duration: Long term contract

Client: Largest Direct Telecom Client

What we’re looking for

You are an accomplished SENIOR DATA SCIENTIST, a recognized MACHINE LEARNING EXPERT, and a thought LEADER IN AI TECHNOLOGY and business innovation. You are a MASTER AT ANALYZING BIG DATA.

Required

• Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
• Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
• Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
• Experience in data management and data analysis in a relational database, Hadoop and Spark.
• Experience with Cloud computing platform such as GCP or AWS.
• Strong communication and interpersonal influencing skills.
• Excellent problem solving and critical thinking capabilities.

Desired

• A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business.
• Expertise in deep learning, NLP, reinforcement learning, recommender system, etc.
• Experience in leading large scale data science projects and delivering from end to end.
• Experience with building data pipelines, model framework and model deployment.