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Salaried Political Data Science Jobs (NOW HIRING)

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

The successful candidate will leverage their data science expertise in mining large datasets to ... base salary, bonus and long-term incentive. We have a generous paid time off program and a ...

New

Walmart. The annual salary range for this position is $156,000.00 - $312,000.00 Additional ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Walmart. The annual salary range for this position is $156,000.00 - $312,000.00 Additional ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

You will be responsible for data science projects across the healthcare domains of clinical ... The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Walmart. The annual salary range for this position is $156,000.00 - $312,000.00 Additional ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Walmart. The annual salary range for this position is $156,000.00 - $312,000.00 Additional ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Run and validate fundraising models produced by Data Science team In addition, this role may also ... The salary for the Data Analyst position is $84,000 on an annualized basis, commensurate with ...

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... An employee's position within the salary range will be based on several factors including, but not ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... An employee's position within the salary range will be based on several factors including, but not ...

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... An employee's position within the salary range will be based on several factors including, but not ...

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... An employee's position within the salary range will be based on several factors including, but not ...

Showing results 21-40

Salaried Political Data Science information

What are the key skills and qualifications needed to thrive as a salaried political data scientist?

To thrive as a Salaried Political Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in political science or related fields, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in data visualization tools, and experience with databases and statistical modeling are typically required. Strong communication, problem-solving abilities, and the capacity to work under tight deadlines are crucial soft skills for this role. These competencies are essential for transforming complex data into actionable insights that inform political strategies and decision-making.

How much do political data scientists make?

Political data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in data analysis, machine learning, and programming may earn higher salaries, especially in competitive political consulting or research organizations.

What is a salaried political data scientist?

A salaried political data scientist is a professional who uses statistical analysis, programming, and data modeling techniques to analyze political data for organizations, campaigns, or research institutions. Their work involves gathering and interpreting large datasets related to elections, public opinion, voter behavior, and policy impact. By uncovering patterns and insights, they help inform campaign strategies, policy decisions, and advocacy efforts. As salaried employees, they typically work full-time for political parties, consulting firms, non-profits, or governmental agencies.

What is the difference between Salaried Political Data Science vs Political Data Analyst?

AspectSalaried Political Data SciencePolitical Data Analyst
Required CredentialsBachelor's or higher in Data Science, Political Science, or related fields; often includes programming and statistical certificationsBachelor's degree in Political Science, Data Analysis, or related fields; some roles prefer certifications in data tools
Work EnvironmentResearch teams, campaign offices, government agencies; involves data modeling and predictive analyticsCampaign offices, think tanks, government agencies; focuses on data collection, reporting, and visualization
Employer & Industry UsagePolitical campaigns, government departments, consulting firmsPolitical campaigns, research organizations, policy institutes

Salaried Political Data Scientists typically engage in advanced data modeling, predictive analytics, and machine learning, requiring stronger technical skills. Political Data Analysts focus more on data collection, reporting, and visualization. Both roles are vital in political strategy but differ in technical depth and responsibilities.

What are some of the main challenges faced by political data scientists in a salaried position, and how can they be addressed?

One of the main challenges for salaried political data scientists is working with incomplete or rapidly changing datasets, especially during election cycles. Navigating data privacy regulations and ensuring ethical use of voter information can also pose difficulties. Collaboration with campaign strategists and communication teams is vital to translate complex analyses into actionable insights. Staying current with evolving political technologies and methodologies is key to success in this dynamic environment. Continuous learning and cross-functional teamwork can help address these challenges effectively.
What cities are hiring for Salaried Political Data Science jobs? Cities with the most Salaried Political Data Science job openings:
What are the most commonly searched types of Political Data Science jobs? The most popular types of Political Data Science jobs are:
What states have the most Salaried Political Data Science jobs? States with the most job openings for Salaried Political Data Science jobs include:

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX

Full-time

Re-posted 18 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) 

Employment Type: FULL_TIME