Link copied to clipboard!
Back to Jobs
Data Analyst at Confie
Confie
Remote - Melcher-Dallas, IA
Information Technology
Posted 0 days ago
Job Description
Pay Range:$100000 - $120000 / yearOur Perks:Generous PTO plans sick pay and health benefitsAnnual bonus based on employment standing*Work from home and hybrid model employmentConfie Enablement Fund/ Scholarship ProgramI-Care Recognition ProgramCorporate Social Responsibility ProgramDiversity Equity and Inclusion InitiativesConfie Hub and Discount Programs (Gym Membership)PurposeWork under the guidance and supervision of the Director Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) modelsEssential Duties & ResponsibilitiesResearch analyze support and implement machine learning solutions on Snowflake Cloud data warehouse platform using snowpark frameworkDevelop novel solutions using your knowledge of the latest AI/ML/NLP techniques and rigorous statistical analysisUtilize LLMs and Generative AI to provide software automation capability integrationsBuild and operationalize retrieval-augmented generation (RAG) frameworksEnhance develop and deploy production-level machine learning models and algorithms that will improve Confies business outcome/customer experiencePerform data cleansing analysis and feature engineering using PythonAbility to work with multiple data sources and types (structured/semi-structured/unstructured)Asses the effectiveness and accuracy of new data sources and execute data wrangling techniquesParticipate and support other teams as needed for all aspects of model development including design model implementation validation calibration documentation product implementation monitoring and reportingCommunicate technical results in a clear concise and effective manner with an emphasis on data visualization techniquesCollaborate with data scientists data engineers and data architects on production systems and applicationsStay up-to-date with industry trends and advancements in AI/MLOn-call supportQualifications and Education RequirementsMasters degree in a quantitative/applied field (Engineering Computer Science Data Science Operations Research Mathematics Statistics Econometrics)Expertise in manipulating and analyzing large data (e.g. exploratory analysis model fitting and visualization)Proficient SQL skills and experience working with large data sets (big data IoT Data)Proficient with programming and modelling using PythonKnowledge of modelling in pre-training & fine-tuning foundation LLM modelsKnowledge of LangChain and sentence transformer frameworksKnowledge of ChatGPT4 (or comparable models)Experience applying current machine learning techniquesKnowledge of evolving data science concepts and best practicesApplicants must be authorized to work for ANY employer in the U.S.We are unable to sponsor or take over sponsorship of an employment Visa at this timeOther DutiesThis job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without noticeAs permitted by applicable law and from time-to-time Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment including recruitment hiring renewal of employment or the terms and conditions of your employment. Employees with questions about Confies use of these computer systems should contact Human Resources at Required Experience:IC Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Employment Type : Full-Time Department / Functional Area: Administration Experience: years Vacancy: 1 Yearly Salary Salary: 100000 - 120000
Resume Suggestions
Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.
Quantify your achievements with specific metrics and results whenever possible to show impact.
Emphasize your proficiency in relevant technologies and tools mentioned in the job description.
Showcase your communication and collaboration skills through examples of successful projects and teamwork.