Intermediate Data Science Specialist

AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.
 Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.
 Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.
 Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.
 Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.
 Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models.
 Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing.
 Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.
 Master strategic business process modeling, traceability, and quality management techniques.
 Strong verbal and written communication and presentation skills.
 Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.

Minimum Qualifications
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
 Proven Familiarity of Finance & Accounting principles and/or project accounting.
 Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.
 Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
 Strong understanding of deep learning architectures, algorithms, and frameworks.
 Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.
 Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
 Bachelors degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.
 Masters Degree in Statistics, Business Administration or related disciplines is a plus.
 Certifications in Data Analytics & Data Science is a plus.
 Must have 3+ years of experience working on ML algorithms and related products.
 Must have 3+ years of experience working with relational databases (Oracle), query authoring (SQL).
 Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.
 Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.
 Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)

Amount of Travel Required

0%

Background Check and Drug Testing Information

CDM Smith reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

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Business Unit

COR

Group

COR

Assignment Category

Fulltime-Regular

Employment Type

Regular,