Data Scientist II

2 weeks ago

Indianapolis, United States Experis Full time

Our client, Accounting Tax and Audit is seeking a Data Scientist II to join their team. As a Data Scientist you will be part of the Analytics Team supporting AI Solutions.

Job Title: Data Scientist II
Location: Remote
Pay Range: 77.40/hour w2
What's the Job?
Please note this role will be fully remote and the selected candidate will not be expected to report to any onsite location.

Our AI & Digital Innovations teams bring the latest GenAI techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.

Involved in specific engagements involving the building of new, bespoke advanced AI solutions for clients and internally.

Leveraging your advanced AI/ML skills, presenting complex results in a clear and concise manner to stakeholders with different backgrounds, and advising on the best strategies based on the model's findings.

You need to ensure that all models and algorithms developed adhere to company standards and best practices and comply with all relevant regulatory and company privacy policies.

Collaborating closely with other data scientists, machine learning engineers, and stakeholders to understand the project's objectives and translate these into innovative, data-driven solutions.

Working experience on Azure Cloud
Background in developing data science projects, handling complex large data sets - unstructured, semi-structured, or structured.
Leverage data-driven techniques to design, develop and improve Generative AI models, drawing on expertise in areas such as machine learning, deep learning, and statistics.
Conduct comprehensive data analysis and modeling, applying AI / ML and statistical methods to large datasets to effectively harness useful insights and generate creative outputs.

Utilizing Python for building high-quality GenAI systems.Expert level skills in using Python libraries and frameworks such as NumPy, Pandas, PyTorch / Tensorflow, Llamaindex, and LangChain Experience in using LLMs, preferably GPT4 and Llama2 LLMs.Strong experience on Embedding methods.
Experience in optimization and fine-tuning LLMs / Embedding and LLM Evals.
Build and maintain robust data pipelines Running testing and validation of the models to ensure accuracy, quality, and generalization of the models on unseen datasets.
Ensure that all models and algorithms developed adhere to standards and best practices, and comply with all relevant regulatory and company privacy policies.
Fast prototype development
Possess a creative mind set developing innovative, data-driven solutions Work independently and a team player.

Keywords:
Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you
About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

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