1

Flexible Data Science Social Good Jobs (NOW HIRING)

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace ... What you'll do: * Very good knowledge of the foundations of machine learning and statistics

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we ... This position is located in Denver, CO and includes competitive pay, flexible time off, benefits ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

The Libraries supports flexible work arrangements based on departmental and operational needs. This ... social, economic, and technological development across North Carolina and around the world. NC ...

We are committed to offering competitive and flexible compensation packages to attract and retain ... social sciences, and fine arts. The Faculty of Arts and Sciences includes three schools: the ...

The Data Science Analyst is responsible for using data science, machine learning, statistical ... Must be flexible and willing to work the demands of the department which is generally limited to ...

Be Seen First

The ideal candidate brings a flexible mind and the ability to carry data-centric projects from ... Advanced degree (PhD preferred) in a quantitative social science field, or equivalent experience

New

Showing results 41-60

Flexible Data Science Social Good information

What cities are hiring for Flexible Data Science Social Good jobs? Cities with the most Flexible Data Science Social Good job openings:
What are the most commonly searched types of Data Science Social Good jobs? The most popular types of Data Science Social Good jobs are:
What states have the most Flexible Data Science Social Good jobs? States with the most job openings for Flexible Data Science Social Good jobs include:

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
JOB RESPONSIBILITIES
  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
  • Develop novel ways to help business partners achieve objectives through analysis and modeling
  • Curate and connect external data sets for broad enterprise-wide analytic usage
  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
  • Utilize machine learning to create repeatable, dynamic, and scalable models
  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS
  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
  • Familiarity with MLOps frameworks like MLflow.
  • Familiarity with SQL.
  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
  • Experience with Python and R, comfortable working with DataFrames
  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
  • Experience working with version control systems such as Git and SVN
  • Experience writing complex SQL queries
  • Understanding data warehousing and databases is critical
  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
  • Experience with Python
  • Experience with machine learning, Deep Learning
  • Mathematical and statistical background
  • Experience with Hadoop, Hive, and/or Spark

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)