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Full Time Spotify Data Science Jobs (NOW HIRING)

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday- Friday (8:00 ...

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data ... San Francisco Employment Type: FULL_TIME

... data scientists to identify and solve challenging problems. Qualifications : Required : • 4+ ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

The Role This is an individual contributor data science role. In this role, the individual leads ... Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model ...

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours ...

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Full Time Spotify Data Science information

What is the difference between Full Time Spotify Data Science vs Full Time Spotify Data Engineering?

AspectFull Time Spotify Data ScienceFull Time Spotify Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related fields; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related fields; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, deriving insightsDesigning, building, and maintaining data pipelines and infrastructure
Employer & Industry UsageUsed across Spotify for product insights, personalization, and recommendationsUsed for data infrastructure, ensuring data flow and availability for analytics

Full Time Spotify Data Science focuses on analyzing data and developing models to improve user experience, while Full Time Spotify Data Engineering centers on building the systems that collect and process data. Both roles are essential, but they differ in skills and daily tasks.

What cities are hiring for Full Time Spotify Data Science jobs? Cities with the most Full Time Spotify Data Science job openings:
What are the most commonly searched types of Spotify Data Science jobs? The most popular types of Spotify Data Science jobs are:
What states have the most Full Time Spotify Data Science jobs? States with the most job openings for Full Time Spotify Data Science jobs include:
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI • On-site

$77K - $108K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 

Responsibilities
  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects.
  • Sets and manages project milestones and dates.
  • Performs other related duties as assigned.
  • Provides guidance and best practice advice to data science interns. 
Qualifications
  • Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of one (1) year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.-Milwaukee - $77,500 to $108,500

Employment Type: FULL_TIME