Job Description

**About Lumen** Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress. We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. **The Role** As a Sr. Lead Data Scientist, you will design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. **The Main Responsibilities** + Analyze data and build descriptive and predictive models in the areas of capacity planning, anomaly detection, workload optimization, customer segmentation and business performance. + Mine information for previously unknown patterns and insights hidden in these assets and leverage them for competitive advantage. + The problems solved will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen. + Be part of a highly skilled agile team and within a strongly focused DevOps culture. **What We Look For in a Candidate** + Able to apply techniques such as classification, clustering, regression, association, anomaly detection, time series forecasting, Hidden Markov models and Bayesian inference to solve pragmatic business problems + Able to design working models and implement them on Big Data systems using Map Reduce or Spark frameworks. + Familiar with Hadoop, Pig, Hive, Scope, Cosmos, or similar technologies. + Able to work within an agile, iterative DevOps development process + 12 + year; 8 + year with a Masters + Experience with statistical programming environments like R, Matlab or Octave + Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby + Experience with statistical programming environments like R, Matlab or Octave + Degree in Math, Computer Science, Data Mining, Machine Learning, Statistics or other quantitative discipline + Plus: Experience with Cloudera or Pivotal Hadoop distributions, Experience with Pivotal HD, GemFireXD, HAWQ **Compensation** This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $129,639 - $172,852 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $136,121 - $181,494 in these states: CO HI MI MN NC NH NV OR RI $142,603 - $190,137 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: Benefits ( Bonus Structure **What to Expect Next** \#LI-SJ1 Requisition #: 338372 **Background Screening** If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page ( . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. **Equal Employment Opportunities** We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. **Disclaimer** The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name. **Application Deadline** 06/07/2025

Job Tags

Temporary work,

Similar Jobs