ADP-Automatic Data Processing

Austin, TX, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

At ADP-Automatic Data Processing, we are looking for an experienced and talented Lead Data Scientist to join our team. The Lead Data Scientist will be a key member of our Data Science team and will be responsible for driving the development and implementation of advanced analytics and data-driven insights. This individual will lead a team of Data Scientists in developing and utilizing cutting-edge technologies and techniques to uncover actionable insights from data. The successful candidate for the Lead Data Scientist role will have the following qualifications: a master's degree in a field related to data science, such as computer science, statistics, mathematics, and engineering; at least 5 years of experience in data science; a deep understanding of data mining, predictive analytics, and machine learning; hands-on experience with big data technologies such as Hadoop and Spark; strong programming skills in Python, R, and SQL; and excellent communication and collaboration skills. We are looking for a highly motivated and passionate individual with a proven track record of leading data science teams. The Lead Data Scientist will serve as a mentor and guide to our Data Science team and will help inspire and drive the development of innovative solutions to challenging problems. If you're up for the challenge, we'd love to hear from you!

Responsibilities of Lead Data Scientist:

• Lead a team of Data Scientists in developing and utilizing cutting-edge technologies and techniques to uncover actionable insights from data • Provide mentorship and guidance to the Data Science team in order to inspire and drive the development of innovative solutions to challenging problems • Develop and implement advanced analytics and data-driven insights • Utilize big data technologies such as Hadoop and Spark • Program using Python, R, and SQL • Communicate and collaborate effectively with team members • Monitor progress of projects and ensure deadlines are met • Document research results and create reports to present findings to stakeholders

Where is this job?
This job is located at Austin, TX, USA
Job Qualifications
  • Strong Experience In Data Engineering And Analytics

  • Expertise In Data Mining Algorithms And Technologies

  • Extensive Knowledge Of Predictive Modeling Techniques

  • Proven Track Record Of Developing And Deploying Data-Driven Solutions

  • In-Depth Understanding Of Statistical And Machine Learning Models

  • Proficiency In Using Programming Languages Such As Python

  • R And Sas

  • Ability To Communicate Complex Data-Driven Insights To Stakeholders

  • Experience In Creating And Managing Large Datasets

Required Skills
  • Sql

  • Python

  • Business Intelligence

  • statistical analysis

  • Algorithms

  • Big Data

  • Data Modeling

  • R

  • Machine Learning

  • Data Visualization

  • Automation

  • Cloud Computing

  • Data Mining

  • Data Warehouse

  • AI

Soft Skills
  • Communication

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Critical thinking

  • collaboration

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Lead Data Scientist in Austin, TX, USA is $108,000 - $160,000 per year. This range can vary depending on the company, experience, and other factors.

Additional Information
ADP-Automatic Data Processing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 25th, 2023
Apply BeforeMay 22nd, 2025
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About ADP-Automatic Data Processing

Automatic Data Processing, Inc. provides business outsourcing solutions. It operates through the following segments: Employer Services and Professional Employer Organization Services. The Employer Services segment offers business outsourcing and human capital management solutions, including payroll, benefits administration, talent management, human resources management, time and attendance management, insurance, retirement and compliance & payment.

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