Data Analyst
Data Analyst
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Job Description
Responsibilities:
The clients AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case.
The role will be to work as part of a team to impact realworld problems by delivering technical AI work.
To be successful in this role you will need to be passionate about Data & AI a continuous learner and a strong team player.
Come join us:
As an AI Engineer you will be based in the clients AI Studio and will help clients understand and extract insight and value from their data using Machine Learning and AI techniques.
Working as part of a team you will be involved in all phases of analytics projects including question formulation design research and development implementation and testing.
This role will explore and understand data and build advanced solutions that could be predictive prescriptive or optimize.
What youll do:
- Customer onboarding nominations and vetting processes
- Proof of Concept design lab scheduling and monitoring of overall governance of AI Studio
- Provide Studio tours manage demo showcase and process improvements
- Conduct customer satisfaction surveys and share key learnings run customer engagement reports and project retrospective reports as well as provide Studio summary for customer & logging product bugs with engineering team
- Produce innovative solutions for the clients clients driven by exploratory data analysis from complex and highdimensional datasets both structured and unstructured applying advanced statistical machinelearning and AI techniques.
- Use a flexible analytical approach to design develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Communicate insights and deliver plans that steer business strategy and decisionmaking for one or more business segments.
Skills and experiences:
- Demonstrable professional experience with applying Machine Learning analysis and modeling of large scale and complex data sets in Industry scenarios.
- Highly skilled in statistical analysis quantitative analytics forecasting/predictive analytics simulation and optimization algorithms.
- Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics image recognition video analytics etc. proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
- Highly proficient with two or more languages such as Python PySpark R SQL etc. and tools like Databricks Azure ML and Azure Cognitive Services
- Software engineering experience using DevOps principles (Knowledge of DevOps workflows Git containers CICD etc.)
- Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in nontechnical language to audiences at multiple skill levels.
- Bonus Skills: Preference for prior experience working with Azure or cloudbased technologies such as AWS or GCP but not required.
About you:
- You likely possess a degree in Applied Mathematics Statistics Analytics Economics/Econometrics Engineering or another relevant field in the industry.
- An equivalent combination of education and experience will also suffice.
- You likely have about 12 years of demonstrable experience across the advanced analytics space preferably in a consulting environment or a combination of experience and relevant education.
ATD Technology LLC is a certified minority woman owned business that creates opportunities to match qualified individuals with client programs while meeting all parties financial and technical goals. ATD is a full service provider with offerings in Contract Permanent and TemptoPerm staffing solutions. We serve Fortune 1000 mid cap and small cap companies in the Commercial Public and Government sectors.
Employment Type
Full Time
