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Urgent! Sr. Data Scientist Job Opening In Austin – Now Hiring Flex
Job Summary
To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a/an Sr. Data Scientist located in Austin, TX.
Reporting to the Sr Director, Supply Chain Solutionsthe Sr. Data Scientist, will be in charge of analyzing, and interpreting large datasets using statistical methods, developing machine learning, predictive/AI models & algorithms to extract meaningful insights, ultimately providing actionable recommendations to businesses to inform strategic decisions and solve complex problems; their key responsibilities include data collection, cleaning, exploration, model building, data visualization, and communicating findings to stakeholders.
What a typical day looks like:
Use various analytical techniques including visualization, statistical methods, machine learning/AI to create scalable solutions for business problems.
Translate business problems and questions into specific quantitative questions to be answered w/ available data using robust methodologies.
In many cases, the data collection at scale will be part of the task and may involve co-work with software development team.
Coordinate and perform testing on data quality and solutions.
Analyze and extract relevant information from big data to help automate and optimize key processes.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Research and implement applicable machine learning and statistical models/algorithms/approaches.
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings to stakeholders through visual displays of quantitative information.
Have working knowledge of developing, implementing and/or connecting to API’s
Build scalable prototype analytics solutions.
Work closely with software development/engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale.
Have some experience with AWS.
Azure, LLM, GenAI tools
The experience we’re looking to add to our team,
Master’s Degree + 2-4 years of experience (OR) PhD + 0-2 years of experience
Degrees can be in Engineering, Mathematics, Data Science, Operations Research, Statistics
Completion of reputable online courses in data science, statistics, programming will be considered as a substitute for educational requirements from traditional universities.
Knowledge of analytical techniques including visualization, statistical methods, building machine learning/AI models
Proficiency in languages like Python, R, SQL for data manipulation and analysis
Knowledge of supervised and unsupervised learning algorithms, including regression, classification, and clustering
Collaborate with product design, software, engineering, and business teams to develop an understanding of needs.
Define standards for data completeness and accuracy for specific use cases.
Build scalable prototype analytics solutions.
Ability to effectively communicate complex technical concepts to non-technical audiences.
Work closely with software development/engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale.
Create, deploy, connect to API’s.
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings to stakeholders.
Can summarize analytics findings in both short form(ppt) and long form (detailed write-up in word/pdf) formats for various consumers and stakeholders including executive management.
Ability to communicate clearly in both oral, written form with teammates and colleagues.
Here are a few of our preferred experiences:
Have some experience with AWS, Azure, LLM’s, GenAI tools
Project ownership/management experience
Knowledge and experience in manufacturing and/or supply chain
PF38
#LI-PF1
What you'll receive for the great work you provide:
Job Category
Operational ExcellenceIs Sponsorship Available?
NoFlex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities.✨ Smart • Intelligent • Private • Secure
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Unlock Your Sr Data Potential: Insight & Career Growth Guide
Real-time Sr Data Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr Data in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 95339 jobs in United States and 1441 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Sr Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Flex is currently hiring and seeking a Sr. Data Scientist to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Flex adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sr. Data Scientist interview at Flex, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Flex's products or services and be prepared to discuss how you can contribute to their success.
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