As a Data Scientist on our BI & Analytics team, you will leverage your experience and creativity to design and implement solutions that provide insight into customer and operations analytics and drive actionable results for the Customer Success organization. You will design and implement enhancements to our existing BI capabilities to identify customer behavioral trends, isolate retention risks, and correlate retention playbooks with churn reduction. As the senior technical member of the team, you will take a lead role in recommending technologies and processes to mature our operations.

Job Functions

Exercise thought leadership and discretion in identifying business needs that can be improved with analytics and designing solutions with the data and tools available

Execute the complete analytics lifecycle for problem solving, including:

· requirements gathering

· problem formulation

· data grooming

· data exploration

· model prototyping

· model validation

· algorithm productionalization

Survey varied data sources for analytic relevance, including:

· distributed file systems

· relational databases

· flat files

· external sources

Interpret, synthesize, and communicate results of analyses to effect action and changes within the organization

Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results

Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds

Drive efficient and effective solution design in tailoring the tools, approaches, and data used to meet the needs of the particular problem

Perform other duties as required

Essential Qualifications

· Ability to read, write, speak, and understand English

· Strong communication and presentation skills

· Expert-level skills and experience with Scala, Python, R, Matlab, or other analytics languages

· Experience with relational databases

· Expert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearity

        o Broad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, and Graph/Network Analytics

· Data pre-processing, exploratory data analysis using a variety of techniques

· Basic understanding of data architecture, data warehouse and data marts

· Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Desired Qualifications

· Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphX

· Experience with Linux based operating systems

· Experience with advanced analytics libraries in Python such as numpy, sci-kit learn, and pandas

· Knowledge of other relevant techniques such as text analysis and text mining

· Operations-research background, focused on large labor operations such as field ops, technical support, and sales

Benefits:

LogRhythm offers the following benefits for this position, subject to applicable eligibility requirements:

Salary:    

The annual starting salary for this position is between $140K- $150K depending on experience and other qualifications of the successful candidate.

Bring your Whole Self to Work!

Diversity, equity, and inclusion are at the core of who we are. At LogRhythm, we know that diverse perspectives spark innovation, improve creativity, and position our team for success. Creating a culture where all are welcomed, valued, and empowered to achieve their full potential is important to who we are today and in the future. We hire the best of the best and do not discriminate based on race, gender, age, religion, sexual orientation, identity, or other personal factors.