Data Scientist

Intelliswift - An LTTS Company; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Intelliswift - An LTTS Company is seeking a Performance Assurance Machine Learning Engineer to analyze deployed network elements and build predictive models. You will extract data with SQL/Python/R, create tools and dashboards, and communicate insights to teammates and stakeholders.

You will collaborate with RF, network, data science, and platform teams to ensure ML outputs are accurate, interpretable, and actionable for product and release evaluations.

Qualifications

• 7+ years in Data Science, Analytics or Data Engineering with large datasets.
• 3-5 years designing, deploying, and maintaining large-scale ML systems.
• Experience with 4G/5G KPI measurements and performance monitoring.
• Collaborates across RF, network, data science, and platform teams.
• Experience with A/B testing and statistical methods for product evaluation.
• Knowledge of MLOps concepts and environments (MLFlow a plus).
• Linux administration and software development in a Linux environment.
• CUDA, Docker, Kubernetes or related hardware/resource management knowledge.
• Strong written and verbal communication; ability to share complex concepts clearly.

Responsibilities

• Analyze deployed network elements and extract data from databases using Python or R.
• Develop prediction models, ad-hoc tools, and dashboards for communication.
• Design and deploy ML systems in production environments with stakeholder alignment.
• Prototyping use cases and developing automations to augment manual efforts.
• Communicate key findings with visualizations to technical and non-technical audiences.
• Support management initiatives and adapt to a dynamic business environment.

Skills

Data Science

Machine Learning

Python

R

A/B Testing

Data Visualization

Big Data

Cloud Platforms

Docker

Kubernetes

MLflow

CUDA

Linux

Databricks

Snowflake

Hadoop

MongoDB

GitHub/Bitbucket

Education

Graduate Degree in Computer Science

Statistics

Data Science

Tools

Databricks

Snowflake

Hadoop

MongoDB

KubeFlow

GitHub

Bitbucket

Job description

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

Specific Responsibilities include:

• 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.
• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.
• 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.
• 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.
• 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.
• 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.
• 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.
• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.
• Communicate key findings to stakeholders using visualizations and/or other suitable methods.
• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.
• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.
• Adapt to changes in a dynamic business environment and, support management initiatives.

Background & Competencies Required:

• Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.
• Cloud Development Experience – AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake
• 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.
• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).
• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.
• Experience with MLOPS concepts and environments such as MLFLOW a plus.
• Experience with basic linux administration and software development in a linux environment.
• Experience in hardware resource management and configuration – CUDA, Docker, KubeFlow, Kubernetes, etc a plus
• Must possess qualities of being curious and eagerness to learn .
• 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.
• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.
• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.
• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.
• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.
• Must have a strong work ethic, integrity and work extremely well independently or in a team environment.