TeleTech

Data Scientist, Lead

TeleTech$112K — $257K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in translating complex technical findings into understandable formats
  • 8+ years building advanced analytics and AI/ML models using tools like LLMs
  • Experience on classified networks for Department of Defense or Intelligence Community clients
  • Skilled in visualizing complex data for non-technical audiences
  • Active TS/SCI clearance and willingness to take a polygraph exam
  • Bachelor's degree plus 17+ years or Master's degree plus 12+ years in relevant technical fields or 21 years of experience in lieu of a degree

Responsibilities

  • Lead a team to derive actionable insights from complex data sets
  • Collaborate with clients to identify data-related questions and needs
  • Develop algorithms and systems for data analysis
  • Visualize and communicate findings to guide client decisions
  • Explore new opportunities for applying data science solutions

Benefits

  • Comprehensive health, life, and disability insurance
  • Tuition assistance and professional development programs
  • Flexible work-life balance programs
  • Paid leave and recognition awards for exceptional performance
  • Opportunities for participation in health and retirement plans
Full Job Description
Data Scientist, Lead
The Opportunity:

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have:
  • 12+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products
  • 8+ years of experience building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI, such as data retrieval and cleaning, modeling, accuracy evaluation and testing, and visualization
  • Experience working on classified networks in support of DoW or IC clients
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria clearly
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree and 17+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or Master's and 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 21 years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree


Nice If You Have:
  • Experience with the development of algorithms leveraging R, Python, or SQL/NoSQL
  • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with Machine Learning, AI or NLP
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.


About TeleTech

TeleTech is a business process outsourcing company headquartered in Englewood, Colorado. The company was founded in 1982 by Kenneth D. Tuchman and provides customer experience, consulting, and technology services to clients in various industries, including healthcare, financial services, and telecommunications. TeleTech operates in over 20 countries and has over 50,000 employees. The company is committed to sustainability and has implemented several initiatives to reduce its environmental impact.
Learn more about TeleTech
Size
56,000 employees
Industry

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