Arkhya Tech. Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Scottsdale, AZ, requiring expertise in Python, R, SQL, and Spark, with experience in machine learning techniques and data visualization. Preferred qualifications include advanced ML algorithms and hands-on PySpark experience. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Scottsdale, AZ
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🧠 - Skills detailed
#Libraries #PySpark #R #Visualization #Data Science #ML (Machine Learning) #Programming #Datasets #Python #Spark (Apache Spark) #SQL (Structured Query Language)
Role description
Role: Data Scientist
Location: Scottsdale AZ (Onsite)
• Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
• Experience applying various machine learning techniques, and understanding the key parameters that affect model performance
• Experience using ML libraries, such as scikit-learn, mllib, etc.
• Experience using data visualization tools
• Able to write production level code, which is well-written and explainable
• Ability to effectively communicate findings from complex analyses to non-technical audiences.
Preferred Qualifications
• Experience of using advanced ML algorithms building, testing, and deploying fraud models.
• Hands-on experience with PySpark
• Industry experience in building or validating machine learning models
• Experience exploring data and finding hidden patterns and data anomalies
Role: Data Scientist
Location: Scottsdale AZ (Onsite)
• Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
• Experience applying various machine learning techniques, and understanding the key parameters that affect model performance
• Experience using ML libraries, such as scikit-learn, mllib, etc.
• Experience using data visualization tools
• Able to write production level code, which is well-written and explainable
• Ability to effectively communicate findings from complex analyses to non-technical audiences.
Preferred Qualifications
• Experience of using advanced ML algorithms building, testing, and deploying fraud models.
• Hands-on experience with PySpark
• Industry experience in building or validating machine learning models
• Experience exploring data and finding hidden patterns and data anomalies
