Data Scientist

Key Skills

Algorithms, Big Data Technology, Effective communication skills, Machine learning techniques, PySpark, Python Programming, R Programming, Statistical modeling

Job Description

At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.

At NICE-Mattersight, Data Scientists serve as subject matter experts on the application of statistics and machine learning in NICE-Mattersight products. Data Scientists conduct research, create internal and external software products, and execute and fine-tune existing methodology.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Explore high-level, undefined ideas and business problems using structured and unstructured data
• Develop product offerings through careful consideration of business value and data analysis
• Improve internal processes and tools to increase efficiency
• Spur future product innovation
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
• Analyze, report, and present on findings and behavioral trends
• Drive the collection of new data and the refinement of existing data sources

REQUIRED EXPERIENCE AND ABILITIES

• 3+ years of data science work experience
• Degree with a concentration in a quantitative discipline
• Advanced knowledge of statistics
• Advanced knowledge with a variety of Machine Learning algorithms
• Strong competence in R or python
• Familiarity with relational databases and query languages (e.g. MSSQL)
• Strong verbal and written communication skills, listening skills, and effective presentation skills

Ability to impress internal teams and positively influence third-party partners and customers

NICE TO HAVES

• Experience in developing and deploying predictive model pipelines
• Expertise with Big Data technologies (e.g. PySpark)
• Past participation in a formal research setting
• Experience as a part of a software organization

WHO IS NICE-MATTERSIGHT

Have you ever spoken with someone and felt as though you just clicked? The magical feeling you get is the result of a personality connection. NICE-Mattersight creates that feeling every day, in call centers and companies around the world, through a unique suite of enterprise software solutions.

We have analyzed over a billion interactions for leading healthcare, travel and hospitality, financial, insurance, tech, telecom, utilities and other clients, and built more than 10 million (and counting) behavioral algorithms that leverage a world-renowned personality model. The resulting products help employees and customers have smoother, faster, more productive conversations with each other—in short, better chemistry.

BE YOU

We are all different and that is powerful. Variability fuels our business and unites our work. It teaches us that strength lies in differences. To see what matters is our culture, and our culture starts with you.

Your different perspectives inspire us to be better. Your diversity fosters creativity and accelerates our innovation. Your unique skills and abilities make us stand out. Your background and experiences help us reach our full potential.

We are committed to a workplace that is increasingly diverse and inclusive, so be your best you.

WHAT YOU CAN EXPECT

NICE-Mattersight values diversity amongst its employees. Employees from all levels of experience and backgrounds are mingled together and are encouraged to learn about projects others are working on. NICE-Mattersight’s Chicago office fosters teamwork as well as self-motivation.

Studies have shown that certain groups are less likely to apply for jobs unless they believe they meet every one of the qualifications as described in a job description. Our top priority is finding the best candidate for the job and if you are interested in this position, we encourage you to apply even if you don’t believe you meet every one of the qualifications described