We are seeking a highly skilled and motivated Data Analyst/Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with a keen ability to translate data insights into actionable business strategies.
Key Responsibilities:Develop and implement AI/ML models and algorithms, particularly focusing on LLM.Manage the entire data lifecycle, from data collection and cleaning to model training, deployment, and inference.Utilize various data engineering tools and frameworks to ensure seamless data flow and build, train, and deploy machine learning models in production environments.Analyze complex datasets using strong analytical skills to identify trends, patterns, and actionable insights.Conduct a thorough evaluation of AI and machine learning tools and adopt those that can significantly improve key business processes.Collaborate on defining and implementing KPIs to measure business success based on insights derived from machine learning models and data analysis.Ensure data quality by cleaning and validating results data for accuracy.Analyze current data structures, tagging, and quality standards. Recommend improvements and identify and address data anomalies.Qualifications:Master's degree in statistics, mathematics, economics, financial engineering, or a similar field.Minimum of 3 years of proven experience as a Data Analyst or Business Data Analyst.E2E data flow, model training/deployment, and inference expertise.Expertise in developing and deploying AI/ML models using Python libraries, including pre-processing, analysis, model selection, and performance evaluation.Demonstrated experience with Generative AI, feature repository development for AI/ML models, LLM embeddings, and fine-tuning on custom datasets for specific use cases.Strong analytical skills for data manipulation, cleaning, and insightful reporting with meticulous attention to detail and accuracy.Strong proficiency in SQL and experience working with relational databases.Experience in business analysis and design, data modeling (including planning, requirement gathering, and documentation).Technical expertise in data models, database design development, data mining, and segmentation techniques.Excellent problem-solving skills with the ability to think critically and provide innovative solutions.Exceptional communication skills to effectively present findings and recommendations.We offer:Competitive compensation, which will take into account the experience and skills of the candidate. Form of payment - monthly, based on Invoice - Bank transfer/Payoneer.Remote, Work schedule: 5/2 (8-hour working day) from 13:00 to 22:00 EEST (incl. 60-min breaks, Flexible schedule is possible).Interesting and long-term project.We support work-life balance and offer paid annual leave and paid sick days.Shorter Fridays (6 working hours) in Summertime.Opportunities for professional development and career growth.
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