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Lumen Lead Data Scientist in Helena, Montana

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 invested in providing the flexibility you need to thrive and deliver lasting impact. Apply now to continue digitally connecting the world and shaping the future.

The Role

The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.

Work Location - Remote US Locations

The Main Responsibilities

Collaborates with dedicated Lumen AI/ML resources to develop and maintain models used to assess Lumen Customer Experience (CX) and satisfaction.

Creates strategies for generating solutions and runs quick analyses to ensure feasibility of approaches for model maintenance and enhancement.

Plays a key role as “player coach” upskilling & training for AI/ML projects.

What We Look For in a Candidate

Required skills

○ Strong statistical background and understanding of advanced analytic techniques

○ Experience with A.I. and Machine Learning model development

○ Proficiency in Azure AI Stack

○ Proficiency in statistical data analysis and data mining packages (e. g R, Python)

○ Solid programming skills in SQL, TSql, PL/SQL or similar database programming language

○ Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions

○ Self-motivated and comfortable working in a fast-paced environment with limited direction

Nice-to-have skills

○ Experience with ETL tools (e.g. SQL Server Integration Services)

○ Understanding and experience of integrating with APIs. Knowledge of standards such as REST, JSON

○ Strong object-oriented programming skills (e.g. Java, JavaScript, Scala)

○ Understanding of the Cloudera Big Data Stack. Hands on experience with Hive, Impala and Spark.

○ Experience with digital analytics concepts (e.g. Next Product to buy, cross channel attribution)

○ Azure AI Certified

Tool and platform know-how

○ Data mining languages and packages (e.g.R, Python)

○ Programming skills in Python, R

○ Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack)

Compensation

The starting salary for this role differs based on the employee's primary work location. Employees typically do not start at the top of the range, though compensation depends on each individual's qualifications.

Location Based Pay Ranges

$94420 - $125890 in these states: AR, ID, KY, LA, ME, MS, NE, SC, and SD.

$99390 - $132510 in these states: AZ, AL, FL, GA, IN, IA, KS, MO, MT, NM, ND, OH, OK, PA, TN, UT, VT, WV, WI, and WY.

$104360 - $139140 in these states: CO, HI, MI, MN, NV, NH, NC, OR, and RI.

$109330 - $145770 in these states: AK, CA, CT, DE, DC, IL, MD, MA, NJ, NY, TX, VA, and WA.

As with the pay range variety that's based on the region of a country, specific offers are determined by various factors such as experience, education, skills, certifications and other business needs.

Requisition #: 332805

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 (https://jobs.lumen.com/i/global/en/faqs) . 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.

Salary Range

Salary Min :

94420

Salary Max :

145770

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.

This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. (https://jobs.lumen.com/global/en/compensation-information) We're able to answer any additional questions you may have as you move through the selection process.

As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking here. (https://centurylinkbenefits.com)

Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.

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