Experienced Entry-Level Data Science Analyst – Remote Amex Job Careers with Competitive Hourly Rate of $35

About the Role We are thrilled to announce an exciting opportunity for an ambitious and detail-oriented Entry-Level Data Science Analyst to join our GSG Advanced Analytics Team as part of the GSG MIS CoE. This is a fantastic chance to kick-start your career in data science and machine learning, working on a wide range of projects that will challenge and inspire you. As a key member of our team, you will have the opportunity to collaborate with experts in the field, develop your skills, and contribute to the growth and success of our organization. About the Company Our company, Workwarp, is a leading provider of innovative solutions in the field of advanced analytics and machine learning. We are committed to staying at the forefront of technological advancements and are constantly seeking talented individuals to join our team. Our company culture values collaboration, innovation, and continuous learning, providing a dynamic and supportive environment for our employees to grow and thrive. Key Responsibilities As an Entry-Level Data Science Analyst, you will be responsible for: Recognizing commercial enterprise perspectives and conceptualizing business problems into data science and machine learning roadmaps. Developing a research-oriented mindset and staying up-to-date with new techniques and algorithms in the field to generate efficiencies and procedure enhancements. Conducting rigorous algorithm testing in accordance with enterprise norms and delivering large operating leverage over the status quo and generating cost savings for the business. Writing, debugging, and compiling codes in multiple gadget studying environments and having knowledge of the Python stack. Researching and troubleshooting via NLP (Natural Language Processing) and having a clean utility on performance testing and validation frameworks of device learning models. Applying mathematical foundations of slicing-edge NLP strategies on various assets of data and deriving insights from terabyte-sized data. Developing scalable answers and having the willingness to layout and deploy them. Essential Qualifications To be successful in this role, you will need to possess the following essential qualifications: A strong understanding of the Python environment and libraries (Pandas, NumPy, NLTK, Statsmodels, Genism, PySpark, Spacy, Transformers). Deep learning understanding is a plus, and experience with TensorFlow or PyTorch is highly valued. Established experience in applying machine learning techniques like regression, classification, supervised or unsupervised recommenders, deep learning, etc. Deep knowledge of records and math and the ability to dissect issues from first principles. Exposure to fields like linear algebra, Bayesian information, organization idea, and other relevant areas. Ability to work in practical teams and possess top-notch statistics wrangling and visualization competencies. Prior experience with Transformers/LSTMs/CNNs is a plus. Operating expertise of fine-tuning large language models (LLMs) is a plus. Preferred Qualifications While not essential, the following qualifications are highly desirable: Experience with Square and other relevant tools. Knowledge of NLP and machine learning concepts. Ability to work with large datasets and derive insights from them. Experience with data visualization tools like Tableau or Power BI. Career Growth Opportunities and Learning Benefits We are committed to the growth and development of our employees. As a member of our team, you will have access to: Regular training and development opportunities to enhance your skills and knowledge. Mentorship from experienced professionals in the field. Opportunities to work on a wide range of projects and contribute to the growth and success of our organization. A dynamic and supportive work environment that values collaboration, innovation, and continuous learning. Work Environment and Company Culture We offer a flexible and remote work environment that allows you to work from anywhere. Our company culture values collaboration, innovation, and continuous learning, providing a dynamic and supportive environment for our employees to grow and thrive. Compensation, Perks, and Benefits We offer a competitive hourly rate of $35, as well as a range of benefits and perks, including: A comprehensive health insurance package. A 401(k) retirement plan with company match. A generous paid time off policy. A flexible and remote work environment. Access to regular training and development opportunities. A dynamic and supportive work environment that values collaboration, innovation, and continuous learning. How to Apply If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to reviewing your application. Apply for this job