Data Scientist in Plano
Job Description
Pay rate range- $75/hr. - $80/hr
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Fully Onsite
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Job Description:
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Top skills:
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-Data Modeling
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-Machine Learning
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-Artificial Intelligence
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KEY RESPONSIBILITES/REQUIREMENTS:
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As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Client's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers
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Specific Responsibilities include:
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• 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.
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• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.
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• Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.
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• Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.
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• Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.
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• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.
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• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.
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• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.
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• Communicate key findings to stakeholders using visualizations and/or other suitable methods.
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• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.
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• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.
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• Adapt to changes in a dynamic business environment and, support management initiatives.
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Background & Competencies Required:
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• Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is .
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• Programming experience: Python & Spark () and/or other such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.
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• Cloud Development Experience – AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake
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• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.
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• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).
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• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.
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• Experience with MLOPS concepts and environments such as MLFLOW a plus.
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• Experience with basic linux administration and software development in a linux environment.
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• Experience in hardware resource management and configuration – CUDA, Docker, KubeFlow, Kubernetes, etc a plus
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• Must possess qualities of being curious and eagerness to learn .
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• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.
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• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.
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• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.
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• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.
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• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.
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• Must have a strong work ethic, integrity and work extremely well independently or in a team environment.