big data analytics consultant in new york

posted
job type
contract
salary
US$ 47.50 per hour
apply now

job details

posted
location
new york
job category
Information Technology
job type
contract
salary
US$ 47.50 per hour
reference number
632847
phone
.
apply now

job description

job summary:

- Design, build, and optimize highly scalable data pipelines to assemble large, complex data sets from various different sources

- Be a key contributor to machine learning projects, helping translate business needs into an analytic plan, executing on the plan, and working on delivery of results

- Contribute to the development of training tools about data engineering, providing content to training materials and delivering training sessions

- Contribute to the evaluation of new software techniques and technologies, providing user testing and preparation of results

 
location: New York, New York
job type: Contract
salary: $47.50 - 53.43 per hour
work hours: 8 to 5
education: Bachelors
 
responsibilities:

- 5+ years of reporting experience, analytics experience, or a combination of both; or a BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 3+ years of reporting experience, analytics experience, or a combination of both

- 2+ years of SQL experience

- 2+ years of development experience with languages like Python, Java, Scala, or R

- 1+ years of experience with Big Data/Hadoop tools like Spark, Hive, Kafka, and Map Reduce

 
qualifications:

- Familiar with statistical and machine learning techniques. This includes exploratory analysis, model building, visualization, and validation.

- Strong ability to design, build, automate, and optimize big data pipelines to extract value from large disconnected data stores

- Ability to work closely with data scientists and business partners to support data needs

- Ability to translate and summarize complex data into understandable, actionable information and recommendations

- Understanding of data structures and algorithms

- Experience with machine learning libraries such as MLlib, scikit-learn, H2O

- Experience with version control systems, especially Git

 
skills: - Strong analytical skills with high attention to detail and accuracy

- Excellent verbal, written, and interpersonal communication skills


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

skills

• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills

qualification

• Familiar with statistical and machine learning techniques. This includes exploratory analysis, model building, visualization, and validation.
• Strong ability to design, build, automate, and optimize big data pipelines to extract value from large disconnected data stores
• Ability to work closely with data scientists and business partners to support data needs
• Ability to translate and summarize complex data into understandable, actionable information and recommendations
• Understanding of data structures and algorithms
• Experience with machine learning libraries such as MLlib, scikit-learn, H2O
• Experience with version control systems, especially Git

responsibilities

• 5+ years of reporting experience, analytics experience, or a combination of both; or a BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 3+ years of reporting experience, analytics experience, or a combination of both
• 2+ years of SQL experience
• 2+ years of development experience with languages like Python, Java, Scala, or R
• 1+ years of experience with Big Data/Hadoop tools like Spark, Hive, Kafka, and Map Reduce



 

educational requirements

Bachelors