Data Scientist

  • location: Research Triangle Park, NC
  • type: Contract
  • salary: $42 per hour

job description

Data Scientist

job summary:
We have a 6 month renewable position for a Data Scientist with a client of ours in RTP, NC.

We have a 6 month renewable position for a Data Scientist for a client of ours in RTP, NC.

Pipeline Data Analyst will be responsible for the key deliverables include:

i. Maximizing the value of available data to support the Vegetables R&D business workflows

ii. Collecting and analyzing data to support market segment analysis as well as optimize workflows for the logistics of material flowing through the pipelines.

iii. Building partnerships with cross functional teams in the Vegetables R&D organization

Accountabilities:

- Generate data collection strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for efficient data collection received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Operations Research, Mathematics, Data Analytics, Statistics, Computer Science, Systems or Industrial Engineering.

- 2+ years experience in data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with Big Data tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively.

 
location: Durham, North Carolina
job type: Contract
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
We have a 6 month renewable position for a Data Scientist for a client of ours in RTP, NC.

Pipeline Data Analyst will be responsible for the key deliverables include:

i. Maximizing the value of available data to support the Vegetables R&D business workflows

ii. Collecting and analyzing data to support market segment analysis as well as optimize workflows for the logistics of material flowing through the pipelines.

iii. Building partnerships with cross functional teams in the Vegetables R&D organization

Accountabilities:

- Generate data collection strategy such as business need analysis, data source identification and data modeling/integration approaches.

- Gather data and design data platform for efficient data collection received from various sources.

- Perform data integration/engineering, process mapping and automation including wrangling unstructured and poorly structured data into appropriate data structures.

- Apply business knowledge to coordinate orchestration of data management, data science and data visualization to develop a streaming process model for automation, processes, data flow, modeling/analyses and visualization.

- Work with data stakeholders for the examination and resolution of issues related to information flow and content.

- Communicate all data issues or problems to management and makes recommendations for solutions.

- Ensure compliance with technical best practices, standards and policies. Support the Data Quality Program, including the creation and execution of DQ queries

Qualifications:

- Bachelor's Degree in a technical or science or equivalent technical expertise. BS degree or above preferred in Operations Research, Mathematics, Data Analytics, Statistics, Computer Science, Systems or Industrial Engineering.

- 2+ years experience in data management/integration experience preferably in agriculture industry.

- 2+ years proficiency in SQL, DBMS Languages, Data Profiling, Data Model Design and Data Architecture

- 2 + years experience with Big Data tools, and/or other broader data skills/capabilities analyzing data across structured/ unstructured data

- Knowledge in AWS Data Services (i.e. RDS, Redshift, S3, Athena, Glue, Kinesis, EMR).

- Knowledge in ETL for both batch and real-time or near real-time data integration.

Preferences:

- Experience in complex ag datasets highly preferred

- General knowledge in Plant breeding process

- Project experience working in Agile development methodologies

- A team player with excellent communication skills, logical thinking and analytical skills.

- Ability to be flexible, decision oriented, and motivated.

- Ability to manage multiple work streams with conflicting deadlines proactively.

 
qualifications:
  • Experience level: Experienced
  • Minimum 2 years of experience
  • Education: Bachelors (required)
 
skills:
  • data science (2 years of experience is required)
  • AWS (1 year of experience is required)
  • data management (2 years of experience is required)
  • ETL (1 year of experience is required)
  • Data Analyst (2 years of experience is required)
  • Agile Methodology (1 year of experience is required)
  • Tableau (2 years of experience is required)
  • SQL (2 years of experience is required)
  • data visualization (2 years of experience is required)

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.

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