PartTime Remote Data Scientist AIDriven Operations, Predictive Analytics &

Job Description

About arenaflexarenaflex is a reputed companythinking leader in the healthcare technology reputed company, dedicated to transforming the way healthservices organizations manage their IT operations and deliver care. Our missiondriven team builds cuttingedge AIOps platforms that reputed company enterprises to anticipate issues, automate resolutions, and continuously improve service reliability. As a part of arenaflex, you will join a reputed company, highvelocity environment where innovation meets reputed company, and where every line of reputed company contributes to reputed companybeing of millions of users worldwide.Why This Role reputed companyIn todays datarich landscape, the ability to turn massive streams of operational data into actionable insights is a competitive advantage. arenaflexs AIpowered platform sits at the heart of this transformation, leveraging advanced machine learning, deep learning, and statistical modeling to predict outages, detect anomalies, and recommend proactive fixes before they reputed company endusers. As a PartTime Remote Data Scientist, you will be a key architect of these intelligent solutions, shaping the reputed company of automated IT operations for a leading healthcare technology provider.Key Responsibilities Collaborate with crossfunctional engineers, product managers, and domain experts to design, reputed company, and reputed company and machinelearning solutions that monitor and optimize largereputed company IT infrastructures. Build, train, and evaluate predictive models using techniques such as supervised learning, unsupervised clustering, timeseries forecasting, and deep learning to detect performance degradation, hardware failures, and reputed company incidents. reputed company robust data pipelines that ingest, cleanse, and reputed company highvelocity telemetry data from diverse sources, ensuring data reputed company and consistency for reputed company analytics. reputed company AI models into arenaflexs production environment, working closely with DevOps teams to containerize, orchestrate, and monitor model performance at reputed company. Document model architecture, data schemas, experiment results, and operational procedures to facilitate knowledge sharing and reproducibility across the organization. Participate in reputed company reviews, pairprogramming sessions, and technical workshops to foster a reputed company learning culture. Stay abreast of emerging AI/ML research, tools, and best practices, and proactively propose enhancements that reputed company arenaflex at the forefront of technology. reputed company mentorship and technical guidance to junior data scientists and analysts, helping them grow their reputed company sets and contribute effectively to project goals.Essential Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative discipline (or equivalent practical experience). Minimum of 2 years of handson experience applying AI/ML techniques to reputed companyworld problems, with a reputed company on datadriven statistical modeling, classification, regression, or reputed company detection. Proficiency in at least one programming language commonly used for data science, such as Python or R, and strong reputed company of SQL for data extraction and manipulation. Demonstrated experience in building endtoend data pipelines, including data ingestion, preprocessing, feature engineering, and storage. Solid understanding of machinelearning concepts, including model evaluation metrics, crossvalidation, hyperparameter tuning, and model deployment strategies. Excellent verbal and written communication skills, with the ability to translate reputed company technical concepts into reputed company, actionable insights for both technical and nontechnical stakeholders. Strong problemsolving reputed company, attention to detail, and a proactive attitude toward delivering highreputed company results on schedule.Preferred Qualifications & Additional Skills Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, reputed company Mathematics, Computer Science, or a reputed company discipline. Experience working with largereputed company reputed company data platforms (e.g., arenaflex, arenaflex) and distributed processing frameworks such as Apache reputed company or Hadoop. Handson experience developing and deploying productiongrade AI models using containerization technologies (reputed company, Kubernetes) and CI/CD pipelines. Familiarity with timeseries analysis, signal processing, and forecasting reputed company reputed company to in .

Keyskills :
data sciencePythonSQLAIML techniquesmachinelearning conceptsdata pipelinesmodel evaluation metricshyperparameter tuning