Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Apply the scientific method to extract knowledge and insights from data, collaborating with stakeholders to turn data into critical information for decision making. Mine big and small data for insights using advanced statistics and machine learning methods, and validate findings with the business. Become a subject matter expert in AI, machine learning, feature engineering, data mining, and data manipulation/storage.

Responsibilities

Develop key predictive models for customer experience, operating performance, and safety.
Develop and recommend data sampling, collection, and cleaning specifications.
Analyze data using advanced techniques to support process improvement.
Access and analyze data from various Company systems of record.
Support the development of strategic business, marketing, and program implementation plans.
Access and enrich data warehouses across multiple Company departments.
Build, modify, monitor, and maintain high-performance computing systems.
Provide expert data and analytics support to multiple business units.
Work with stakeholders to understand business needs and develop data science projects.
Collaborate with other analytic teams on big data analytics techniques and tools.

Requirements

Bachelor's degree in a Quantitative discipline (e.g., Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field).
4-7 years of relevant experience in developing hypotheses, applying machine learning algorithms, validating results, analyzing multi-terabyte datasets, and extracting actionable insights.
Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
Experience working within an open source environment and Unix-based OS.
Ability to translate data analysis and findings into coherent conclusions and actionable recommendations.
Strong oral and written communication skills.

Skills

Machine learning
Artificial intelligence
Statistical modeling
Data mining
Information retrieval
Data visualization
Python
R
Scala
Unix
SQL

Location

Remote

Work Type

Full-time

Experience Level

4-7 years

Education Level

Bachelor's degree
Master's degree
PhD

Salary/Compensations

$104,000.00/Yr. – $143,000.00/Yr.

Benefits

Annual Bonus for eligible positions: 15%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
Employee Assistance Program and resources for mental and emotional support
Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
Referral bonus program

About the Company

Exelon is leading the energy transformation.
We are a Fortune 200 company with 20,000 colleagues serving more than 10.7 million customers at six energy companies.
We are committed to creating an environment where every person can thrive.
Our employee experience is grounded in four tenets: purposeful careers, growth opportunities, community impact, and support to thrive.
We elevate diverse voices, fresh perspectives and bold thinking.

Equal Opportunity

We're committed to creating an environment where every person can thrive.
We elevate diverse voices, fresh perspectives and bold thinking.