Company DescriptionLogic20/20 invests in being a Best Company to Work For, where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more.
We thrive as One Team, built on values: We Foster a Culture of We by prioritizing connection and collaboration. We Drive toward Excellence by investing in professional growth and cultivating thought leadership. We Act with Integrity by doing the right thing and bringing our best selves to the table.
To make it all possible, we've created programs, resources, and benefits that promote connection and help you evolve your career. Job DescriptionAs a Lead Data Scientist joining Logic20/20's Advanced Analytics practice, you'll transform data into powerful insights capable of driving enlightened decision making. You'll work closely with the client to understand their business needs, then frame those needs as statistical problems and solve them with leading-edge methodologies.
Along the way, you'll lead a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skillsets in creating world-class solutions. What you'll do:Learn and deploy new programming languages, algorithms, and applications Quantify the value of existing data and provide roadmaps for future developmentModel knowledge of Machine Learning techniques and develop solutions in Python, SQL, and/or R Grasp opportunities to broaden your scope into the realms of data engineering and data visualization Build models of customer satisfaction that provide detailed insight into what drives customer actions Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making Work in Hadoop, Redshift, and Spark QualificationsMust have:5+ years of strong experience and knowledge of Python or R5+ years of demonstrated knowledge of SQL, creating advanced queries in a high-impact role Strong background in risk modelingExperience working with anomaly detectionKnowledge of statistics and machine learning techniques Experience building data pipelines Experience in marketing analytics, attribution modeling, or click-stream data analysis Consulting experienceHighly preferred:Master's degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline Experience working in the utilities industryExperience with Bayesian modelingSimulation experienceAdditional InformationAll your information will be kept confidential according to EEO guidelines. At Logic20/20, we believe in recognizing and rewarding exceptional talent.
Logic20/20 offers a competitive compensation package, with a target base salary range of $135,000 - $230,000 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.
About Logic20/20 To learn more about Logic20/20, please visit: Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees-and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at . Logic20/20 BenefitsWhy Logic20/20? It's our goal to be one of the best companies to work for.
One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k). You will have PTO & Paid Holidays - Worry-free time off to recharge and pursue your personal goals Community & Committees - As part of our Culture of We, Logic20/20 invests in providing many social, interest, and learning opportunities Referral Programs & Bonuses - Employee, project, and sales referral programs with paid incentives Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
To learn more about our DE&I initiatives, please visit: Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.
SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Utilities.
