

Rivago Infotech Inc
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Scottsdale, AZ, with a contract length of unspecified duration. Candidates should have 9+ years of experience, proficiency in Python/R, SQL, and machine learning techniques, along with strong data visualization skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 22, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Scottsdale, AZ
-
π§ - Skills detailed
#ML (Machine Learning) #PySpark #Python #R #Visualization #Programming #Spark (Apache Spark) #Mathematics #Data Science #Libraries #SQL (Structured Query Language)
Role description
Fine with Relcoation
Role : Data Scientis
tLocation : Scottsdale, AZ (onsite
)Contrac
tEnd Client - Service-based industry
Experience - 9+ Year
s
Data Scientist J
β’ D:Experienced data science, engineering, mathematics, or related work experience is require
β’ d.Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datase
β’ tsExperience applying various machine learning techniques, and understanding the key parameters that affect their performan
β’ ceExperience using ML libraries, such as scikit-learn, mllib, et
β’ c.Experience using data visualization too
β’ lsAble to write production level code, which is well-written and explainab
β’ leInterest to do lots and lots of proof of concepts/rapid prototypi
β’ ngAbility to effectively communicate findings from complex analyses to non-technical audience
s.Essential Functio
β’ nsExplore and aggregate data independently to uncover data anomalies that impact algorithm performan
β’ ceEnd to end feature engineering - brainstorm, create, validate, down-select, et
β’ c.Write production level code in a dynamic, start-up environme
β’ ntSolve complex problems using terabyte size data se
β’ tsApply of a variety of machine learning techniques to a business problem to arrive at optimal approa
β’ chPartner with Product and Engineering teams to solve problems and identify trends and opportuniti
β’ esExplain and visualize results and algorithm performance to non-technical audienc
β’ esSupport the company's commitment to protect the integrity and confidentiality of systems and dat
a.Preferred Qualificatio
β’ nsPyspark experien
β’ ceBuilding fraud and/or risk mode
β’ lsKnowledge of advanced ML algorith
β’ msIndustry experience in machine learni
β’ ngExperience exploring data and finding hidden patter
ns
--
Fine with Relcoation
Role : Data Scientis
tLocation : Scottsdale, AZ (onsite
)Contrac
tEnd Client - Service-based industry
Experience - 9+ Year
s
Data Scientist J
β’ D:Experienced data science, engineering, mathematics, or related work experience is require
β’ d.Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datase
β’ tsExperience applying various machine learning techniques, and understanding the key parameters that affect their performan
β’ ceExperience using ML libraries, such as scikit-learn, mllib, et
β’ c.Experience using data visualization too
β’ lsAble to write production level code, which is well-written and explainab
β’ leInterest to do lots and lots of proof of concepts/rapid prototypi
β’ ngAbility to effectively communicate findings from complex analyses to non-technical audience
s.Essential Functio
β’ nsExplore and aggregate data independently to uncover data anomalies that impact algorithm performan
β’ ceEnd to end feature engineering - brainstorm, create, validate, down-select, et
β’ c.Write production level code in a dynamic, start-up environme
β’ ntSolve complex problems using terabyte size data se
β’ tsApply of a variety of machine learning techniques to a business problem to arrive at optimal approa
β’ chPartner with Product and Engineering teams to solve problems and identify trends and opportuniti
β’ esExplain and visualize results and algorithm performance to non-technical audienc
β’ esSupport the company's commitment to protect the integrity and confidentiality of systems and dat
a.Preferred Qualificatio
β’ nsPyspark experien
β’ ceBuilding fraud and/or risk mode
β’ lsKnowledge of advanced ML algorith
β’ msIndustry experience in machine learni
β’ ngExperience exploring data and finding hidden patter
ns
--





