- Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, or software engineering.
- An ideal candidate for the Lead Machine Learning Scientist role should have practical experience, a love of experimentation, and a passion for the problem we're trying to solve.
- In this position, you will play a central role in developing novel ways to leverage machine learning and statistical analyses.
- You'll use a mixture of supervised and unsupervised techniques to generate and test hypotheses and turning your results into actionable, impactful insights.
- You will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, CHAID/decision trees, neural networks and ensemble models.
- Knowledge of statistical concepts such as regression, time series, mixed model, Bayesian, clustering, etc., to analyze data and provide insights.
- Conduct statistical analysis and build time series models using linear regression, ARIMA, DLM, VAR, and VECM.
- Responsible for creating and implementing AI, machine learning and deep learning algorithms to solve business problems.
- Design project specific custom model architectures, preprocessing and post processing pipelines and training and evaluation procedures.
- Deploy machine learning and deep learning models from prototype stage to production ready, highly scalable applications capable of real-time and batch inference.
- Develop models to derive information from text using natural language processing like parts of speech, named entity recognition, constituency parsing, and dependency parsing.
- Automatically summarize text, classify text, extract sentiment and infer latent topics from text data to predict company performance.
- Research, prototype, and develop core machine learning and statistical analyses for commercial strategy data including revenue and capacity data.
- Mix supervised and unsupervised methods to train classifiers.
- Leverage cloud-based technologies to collate and pre-process model input data.
- Work closely with our team to validate and improve experiment results.
- You're adaptable, driven, and have at least a BS in Computer Science, Statistics, Mathematics, Applied Mathematics, or a related field.
- You're a leader: you can accomplish things on your own, but you also bring out the best in people around you.
- You have 3+ years of experience in architecting, implementing, and evaluating machine learning and/or image processing approaches for unique datasets.
- You're proficient in Python and common machine learning frameworks
- You're familiar with cloud computing technologies and conducting experiments on cloud-based datasets (e.g. Amazon EC2, Amazon S3, Docker, Snowflake).
- You have strong written and verbal communication skills to share findings with the rest of the team.
- MS/Ph.D. in a relevant field.
- Demonstrable experience as a primary developer for production ML solutions.
- Proficiency in machine learning and statistics theory, as well as knowledge of recent advances in deep learning.
- Participate in OrangePeople monthly team meetings, and participate in team building efforts.
- Contribute to OrangePeople technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested
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Data Scientist II - Winter Garden - Orangepeople LLC
Description
Do you have a passion for innovation? Are you excited to leverage cutting edge technology to solve big business problems? If your response to those questions is "yes", we would love for you to join us At OrangePeople we consult for some of the most prestigious brands in the world. But more importantly, our consultants have a voice in the vision and future of the company. At OrangePeople, our focus is people. It's right there in our name.
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.Required:
Required:
Pluses:
Additional Responsibilities:
About us:
Orange People is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers who are passionate about doing quality work. As a member of the Orange People team you will have access to industry-leading consulting practices, strategies & technologies, innovative training & education. xhmxlyz An ideal Orange Person is a technology leader with a proven track record of technical achievements and strong process/methodology orientation.
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