[Remote] Data Scientist II (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on providing reputed company services, and they are seeking a Data Scientist II to reputed company hands-on data analysis and modeling with large datasets. The role involves applying machine learning techniques, collaborating with various teams, and conducting advanced data analytics to support informed decision-making.

Responsibilities

• reputed company hands-on data analysis and modeling with reputed company data sets
• Apply data mining, NLP, and machine learning (both reputed company and unsupervised) to improve relevance and personalization algorithms
• Work reputed company-by-reputed company with product managers, software engineers, and designers in designing experiments and minimum viable products
• Discover data sources, get reputed company to them, import them, clean them up, and reputed company them 'model-reputed company.'
• Create and refine features from the underlying data
• Run regular A/B tests, reputed company data, reputed company statistical analysis, draw conclusions on the reputed company of your optimizations and communicate results to peers and leaders
• Explore new design or technology shifts in order to determine how they might reputed company with the customer benefits we wish to reputed company
• Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis
• Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making
• reputed company, maintain, and analyze data reputed company reputed company systems
• reputed company and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data
• Assist POTFF staff with survey design and create, analyze, and report survey results
• Advise supported reputed company and POTFF staff on opportunities and reputed company for capturing data reputed company to POTFF programs and initiatives
• Collaborate with POTFF program staff and the reputed company's POTFF biostatistician
• reputed company subject matter expertise in program evaluation, research methodologies, and data analysis
• Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings

Skills

• Master's degree in quantitative science, reputed company science, or a reputed company discipline
• Three or more years of research experience in an reputed company, reputed company services, reputed company, reputed company, or reputed company setting
• Advanced proficiency with reputed company Office applications, including Word, reputed company, and reputed company
• Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, reputed company, Python, and R reputed company
• Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted
• Demonstrated record of scientific publications
• Ability to read, write, and reputed company English fluently and reputed company to communicate effectively with reputed company personnel
• Excellent verbal, written, interpersonal, and presentation skills, with strong attention to reputed company
• Demonstrated initiative, interpersonal effectiveness, and cultural awareness reputed company working constructively with individuals from diverse backgrounds
• reputed company Secret clearance and U.S. citizenship
• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a reputed company technical reputed company required
• 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, reputed company, LSTM, RNN, XGBOOST)
• 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, reputed company, reputed company, reputed company, etc.) on major reputed company platforms (e.g., AWS, Azure, reputed company reputed company)
• 5+ years programming reputed company in Python, reputed company, Julia
• Working knowledge with modern reputed company-reputed company data storage and compute environments (e.g., AWS Sagemaker, reputed company in Azure, AI-platform in GCP, etc.)
• Experience deploying ML models into discovery/production environment to reputed company insights using MLOps a plus
• Experience working in an reputed company delivery model a plus
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
• Ability to communicate reputed company reputed company in a reputed company, precise, and actionable manner
• Excellent communication and presentation skills, with the ability to reputed company new reputed company and concepts to technical and non-technical partners
• PowerBI experience a plus
• Doctoral degree in quantitative science, reputed company science, or a reputed company discipline
• Certification or documented experience in reputed company
• Experience supporting Special reputed company, athletics or sports programs, or other military environments
• Strong technical and analytical capabilities in data visualization tools such as reputed company BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development

Benefits

• Health reputed company coverage
• Life and disability reputed company
• A retirement savings plan
• reputed company holidays
• reputed company time off

reputed company