Senior Analytics Leader
2 weeks ago
Senior Analytics Leader - Remote
Full Time Permanent Position
Work Arrangement: remote
Compensation Range: $125,800 - $188,600, plus annual bonus
The Data Science division at NiSource represents the newly formed advanced analytics sector of the organization. We are assembling a skilled team that utilizes state-of-the-art tools and methodologies to address our company's most significant analytical challenges. With a robust team culture and a dedication to innovative problem-solving, the solutions we develop will provide a competitive edge for our organization for years to come.
This Senior Analytics Leader will report to the Enterprise Data and Analytics Organization and act as a technical advisor within the Data Science division to:
- Develop and implement sophisticated analytical models utilizing Machine Learning and Statistical methods
- Conduct thorough data exploration and mining activities
- Serve as a specialist in converting complex datasets into strategic insights and actionable recommendations
- Uncover business narratives revealed by data and communicate them effectively to fellow scientists, business stakeholders, and management at various levels
- Create and evaluate heuristics
- Generate business intelligence reports, dashboards, visualizations, and other advanced analytical outputs that effectively convey the business narrative and provide well-supported recommendations with tangible impact.
Your duties may encompass, but are not limited to:
- Act as a mentor and guide to other Data Scientists within the organization
- Lead project teams and engage in multidisciplinary analytics initiatives
- Communicate effectively with senior leadership independently
- Design innovative processes and construct large, complex datasets
- Execute statistical modeling and experimental design
- Validate and test predictive models
- Conduct scalable data research both on-premises and in the cloud
Minimum Qualifications
- Bachelor's degree or equivalent professional experience
- 7+ years of experience in data science, data analysis, or a related field
- 5+ years of proficiency in statistical and database programming languages (SQL, Python, R, Spark, etc.)
- 5+ years of experience applying machine learning techniques such as NLP, image recognition, boosted trees, or similar tasks
Preferred Qualifications
- Master's or advanced degree in statistics, data science, physics, mathematics, engineering, computer science, or a related discipline
- Experience collaborating with data engineers and architects
- Proven experience leading a team of analytics professionals towards a unified objective
- Familiarity with data governance practices in the analytics domain
Disclaimer
The above description is not intended to be an exhaustive list of all responsibilities and duties associated with the position.
Work Authorization
Authorized to work in the United States without requiring sponsorship.
Inclusion & Diversity
Embrace inclusion in your daily responsibilities by valuing diverse perspectives, engaging with differing opinions, and fostering a safe environment where individuals, ideas, and viewpoints are respected within your team and with external partners.
Recognize and appreciate diversity within your team and external partners by valuing various worldviews, challenges, and cultures that encompass all backgrounds.
Treat others with respect and consideration, actively contributing to a positive workplace atmosphere.
Equal Employment Opportunity
NiSource is dedicated to providing equal employment opportunities across all its companies to all employees and job applicants without regard to race, color, religion, national origin, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, or any other protected status as defined by law. Every employee is expected to uphold this principle.
Safety Statement
Encourage a safe working environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take steps to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your colleagues. Maintain focus on your tasks and promote productivity through sound work practices.
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