Robotics Technologies LLC
Data science engineer
Robotics Technologies LLC, San Antonio, Texas, United States, 78208
W-2 Open Positions Need to be Filled Immediately.
Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview
Job ID:
J38071Specialized Area:
Data ScienceJob Title:
Data Science EngineerLocation:
San Antonio, TXDuration:
12 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Responsibilities
Use data mining, machine learning and other tools to design and develop recommendation engines, predictive models, scoring algorithms and other data products which drive user segmentation, engagement, retention, and monetization.Provide technical expertise in statistical analysis, data mining, machine learning, NLP, and Information Retrieval.Build statistical models at scale.Collaborate effectively
with data engineers, data scientists, and client business teams.Communicate effectively
to different audiences, both technical and non-technical, through good storytelling and data visualization.Experience working on Hadoop platforms, familiarity with HDFS, Hive, MapReduce, and Spark.Strong technical experience with PySpark ML libraries and/or Python/Pandas.Experience with Domino Data Science Platform.Data exposure to tools such as TensorFlow/Sagemaker, H2O.AI is a plus.A deep background in one of the following: information retrieval/search ranking, natural language processing, collaborative filtering, or ontology management/data normalization.Text analytics/NLP experience is a strong positive.Image processing experience is a nice-to-have.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview
Job ID:
J38071Specialized Area:
Data ScienceJob Title:
Data Science EngineerLocation:
San Antonio, TXDuration:
12 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)Responsibilities
Use data mining, machine learning and other tools to design and develop recommendation engines, predictive models, scoring algorithms and other data products which drive user segmentation, engagement, retention, and monetization.Provide technical expertise in statistical analysis, data mining, machine learning, NLP, and Information Retrieval.Build statistical models at scale.Collaborate effectively
with data engineers, data scientists, and client business teams.Communicate effectively
to different audiences, both technical and non-technical, through good storytelling and data visualization.Experience working on Hadoop platforms, familiarity with HDFS, Hive, MapReduce, and Spark.Strong technical experience with PySpark ML libraries and/or Python/Pandas.Experience with Domino Data Science Platform.Data exposure to tools such as TensorFlow/Sagemaker, H2O.AI is a plus.A deep background in one of the following: information retrieval/search ranking, natural language processing, collaborative filtering, or ontology management/data normalization.Text analytics/NLP experience is a strong positive.Image processing experience is a nice-to-have.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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