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Humana Lead Data Scientist- Cognitive/Machine Learning in Billings, Montana

Description

The Cognitive/Machine Learning Lead collaborates with analytic and data teams to set objectives, approaches, and work plans. Researches and evaluates new analytical methodologies, approaches, and solutions. Develops and validates statistical forecasting models and tools. Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

Responsibilities

Humana's Digital Health & Analytics' Team is seeking a Lead Data Scientist to join their team in Boston, MA.

The Cognitive/Machine Learning Lead collaborates with analytic and data teams to set objectives, approaches, and work plans. Researches and evaluates new analytical methodologies, approaches, and solutions. Develops and validates statistical forecasting models and tools. Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

Your Attributes

Our team comprises all sorts of people from all sorts of backgrounds. You are most welcome to be loud or quiet, funny or serious, introverted or extroverted! We do, however, ask that you have:

  • A pragmatic approach to solutioning and delivery

  • Excellent communication skills, both verbal and written

  • The ability to work fluidly and respectfully with our incredibly talented team

  • A clear commitment to creating impactful solutions that solve internal clients' problems

  • Role model of ethics and integrity who builds a culture of respect

  • Highly effective change agent who embraces change and leads change management

  • Provides courageous advice.

  • Inspires and motivates others.

What You'll Need (Experience & Qualification)

  • MS / PhD in Data Science, Econometrics, Computer Science, Engineering, Physics or a related quantitative field

  • 4-7 years industry experience in data science or machine learning roles, including predictive modeling, software development, and data analysis responsibilities

  • Experience working with data engineering teams to productionize models

  • History of using CRM, sales, marketing, or product data

  • Experience with analyzing large-scale datasets

  • Experience verbally presenting technical and business-oriented information to senior management and customers

Technical Skills:

  • Machine Learning: Logistic Regression, Lasso & Ridge Regularization, Decision Tree, Random Forest, Boosting, Neural Networks (e.g. ANN, RNN/LSTM, Autoencoders, etc.), Natural Language Processing (NLP), Time series, Support Vector Machines, Na*ve Bayes.

  • Languages/Libraries: Python, R, H2O, SQL

  • Expert knowledge of at least one core machine learning framework, including but not limited to: TensorFlow, Keras/Theano, Scikit-Learn, Torch, Caffe, MxNet; etc.

  • Big Data: Spark, Hadoop, Docker Containers

  • Visualization: MS Power BI is preferable

Nice to Have:

  • Ability and interest in developing junior members

  • A history of compelling side projects or contributions to the Open Source community is valued but not required

  • Prior experience in building machine learning models on cloud platforms (e.g. using tools like Azure, Google, AWS) is preferable.

  • Java or similar object oriented programming/scripting experience

  • Experience with model management, monitoring and deprecation processes.

  • Experience with agile or other rapid application development methods.

  • History of using medical claims data and/or passion for Wellness and Healthcare

  • Willingness to travel (when its safe to do so again)

How We Work:

We knock down barriers to health and are a catalyst so that people can live their best lives on their terms. We incorporate our values in all that we do.

Thrive Together

  • Build Trust: Our team is authentic, we are honest and transparent, and we make promises and then deliver on them. You can rely on us, always.

  • Embrace Positivity: We believe in the power of positive messages, positive emotions and positive relationships to motivate our teammates and our members to live their best lives.

Rethink Routine

  • Be Curious and Humble: We don't know everything. To deliver on our mission, we need to be intensely curious and open to challenging own assumptions about the world, the industry, the solution, and our own members' experiences.

  • Solve Problems with Creativity: We are especially skilled in navigating complexity, solving tough problems and making concepts real as we forge a new path in healthcare.

Cultivate Uniqueness

  • Elevate Others: We value the impact and contributions of our teammates and members. We are supportive leaders, collaborating and building relationships to enable others to reach their highest potential.

  • Value Diverse Perspectives: We value each individual for who they are and their unique skills. In building diverse teams and learning from the perspectives of others, we create more inclusive solutions.

We care about your wellness:

Due to COVID-19, most of our associates are working from home. We have implemented a virtual hiring process and continue to interview candidates by phone and video and are onboarding new hires remotely. We value the safety of each member of our team because we know we are all in this together.

Located in the Seaport District of Boston, MA (preferred) or Remote.

Scheduled Weekly Hours

40

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