Lead Data Scientist - Austin, United States - Logic20/20 Inc.

Logic20/20 Inc.

Verified Company

Austin, United States

1 week ago

Posted by:

Mark Lane

beBee recruiter

Description

Company Description
Logic20/20 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.

As 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:

Quantify the value of existing data and provide roadmaps for future development
Model 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 decisionmaking
Work in Hadoop, Redshift, and Spark

Qualifications Must have**:

5+ years of strong experience and knowledge of Python or R
5+ years of demonstrated knowledge of SQL, creating advanced queries in a highimpact role
Strong background in risk modeling
Experience working with anomaly detection
Knowledge of statistics and machine learning techniques
Experience building data pipelines
Experience in marketing analytics, attribution modeling, or clickstream data analysis
Consulting experience

Highly preferred:

Master's degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline
Experience working in the utilities industry
Experience with Bayesian modeling
Simulation experience

Additional Information
All 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

Core Values

Logic20/20 Benefits
Why 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

Worryfree 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.

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.