Job description

Objectives of this Role Collaborate with product design and engineering to develop an understanding of needs Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes and implement analytics for meaningful insights Keep current with technical and industry developments Daily and Monthly Responsibilities Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and business groups Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform... data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Skills and Qualifications Bachelors degree in statistics, applied mathematics, or related discipline 4+ years experience in data science Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau/Power BI, SQL, and programming languages (i.e., Java/Python, R), ML, AI, Deep learning, Neural network Practical understanding of data structures and algorithms Experience with deep learning frameworks (PyTorch, TensorFlow, OpenCV etc.)/ NLP frameworks (spaCy, NLTK, gensim, etc.) Comfort working in a dynamic, researchoriented approach with multiple ongoing concurrent projects Preferred Qualifications Master's degree in stats, applied math, or related discipline 2+ years of project management experience 2+ years of MLOps 2+ Deep Learning frameworks experience Professional certifications Role: Data Scientist Salary: Not Disclosed by Recruiter Industry: Electronic Components / Semiconductors Functional Area Data Science & Analytics Role Category Data Science & Machine Learning Employment Type: Full Time, Permanent Key Skills Tensorflow python pytorch power bi machine learning deep learning Skills highlighted with are preferred keyskills Education UG: Any Graduate Company Profile ORBIT Semiconductor Services ORBIT is a leading semiconductor services provider with a strong and seasoned team of 400+ experienced engineers. We deliver innovation and value in a wide range of semiconductor industry services ranging from mechanical, electrical, and software engineering services for our OEM clients to supply chain and onsite tool technology and tool startup, maintenance, and process services for our semiconductor fab customers. Our client list boasts of prestigious IC chip manufacturers and OEM spread over the USA, Asia, Middle East, and Europe. With our wide range of services, ORBIT improves ROI, operational efficiency and provides a competitive advantage to our clients. The company is focused on providing engineering services to the semiconductor, capital equipment, and solar industries. Orbit delivers endtoend engineering services in fab operations, improve product development cycle time, Mechanical, Electrical-Electronics and Software engineering services. They help clients stay competitive; improve their productivity and profitmargins by offering complete system design, value engineering and engineering documentation services,

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