Associate Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. 'The AI & Analytics practice group at Capgemini is expanding its footprint... rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities. The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career. Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations Analyze and model both structured and unstructured data to generate value Use industry expertise and data science experience to uncover new opportunities with clients' data 1 -2 years industry experience, with work in a quant or data scientist field preferred Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field using R and Python Strong understanding and application of statistical methods and

skills:
distributions, variance and correlation analysis, A/B testing, and regression Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka and familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud REQUIRED

SKILLS:
Data & AI,Formal Sciences,LLM,NLP tools,artificial intelligence,data science,generative AI,machine learning,mathematics,natural language processing and statistics.

Job Description

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Job Description
- Grade Specific

The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making. The base compensation range for this role in the posted location is $60,000 to $80,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offe