Experienced RAI Engineer building state of the art models to solve business challenges while focusing on responsible aspects such as AI model fairness, transparency, explainability, robustness, soundess, and privacy.
Locations (15)
Chicago, Illinois, United States
California, United States
Colorado, United States
Connecticut, United States
District of Columbia, United States
Illinois, United States
Show all 15 locations
Maine, United States
Maryland, United States
Massachusetts, United States
Minnesota, United States
New York, United States
New Jersey, United States
Compensation
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
Responsibilities
Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
Detecting, evaluating and applying relevant RAI dimensions (bias, fairness, robustness explainability etc.) in AI systems; work on mitigating the identified risks.
Supporting client sales conversations and proposal preparation
Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Senior Analytics Engineer responsible for building and owning data models, reporting, and BI solutions to support marketing and growth decisions at Mosh | Moshy.
Responsibilities
Build and own dbt models and Looker (LookML) layer behind marketing attribution and core acquisition, retention and revenue reporting
Work closely with Marketing, medical operations, product, customer support and finance to define success for new initiatives and turn complex data into clear insights
Craft clear data stories for non-technical stakeholders and partner with leadership to frame the right questions
Bridge data and engineering to ensure data reflects business processes
Define metrics to track progress against OKRs and targets and document each one
The Insights Analyst builds forecasting models, benchmarks, and data foundations behind business cases, market evaluations, and performance assessments across the lottery and gaming portfolio.
Locations (2)
Athens, Attikí, Greece
Paiania, Attica, Greece
Responsibilities
Assess market trends and analyse the performance of all product verticals globally.
Evaluate the sales potential of new markets to support business cases, and identify growth opportunities in markets where the company already operates.
Define and maintain the building blocks of each business case, validating assumptions with the stakeholders involved.
Develop sales forecasts with base, upside and downside scenarios for upper-management decisions.
Design, structure and maintain the company’s database on industry, product verticals, markets, competition and channels.
