Senior Data Scientist

Key Skills

Apache Hive, Apache Pig, AWS, Azure, Data Analytics, Google Cloud Platform (GCP), MATLAB Programming, Python Programming, R Programming, SQL, Statistical modeling

Job Description

The base salary pay range for this position is $105,000 to $186,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, and location. Please see below for information on Slalom’s benefits.

Who You’ll Work With

As a modernized technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have a passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

As a Senior Data Scientist at Slalom, your main focus will be crafting, defining, and implementing machine learning and data mining capabilities that help our clients advance their strategies, improve operations and reduce costs. We collaborate with a diverse range of leaders across clients, partners, and Slalom, including data architecture, project management, user experience, and organizational effectiveness.

What You’ll Do

• Support clients during the discovery, brainstorming, and prioritization of advanced analytics use cases.
• Design, develop, evaluate and modify unsupervised, supervised, and reinforcement machine learning algorithms in the context of solving business problems.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Identify third-party data sources, as needed, to improve the performance of models.
• Perform ad-hoc analysis in support of the client’s needs during the engagement.
• Partner with client, partner, and Slalom resources to automate and operationalize data collection, analysis, and publication of insights.
• Process, cleanse, and verify the integrity of data used for analysis.
• Present and communicate insights, model results, and resultant recommendations to key client stakeholders.

What You’ll Bring

• Experience in commercial applications of qualitative, predictive, and prescriptive analytics and machine learning models.
• Exceptional work experience with Python or R, preferably with working experience with one or more public cloud platforms such as AWS, Microsoft Azure, or GCP.
• Demonstrated experience with commercial and open-source statistical and analytics tools (e.g. Python, R, MATLAB, SQL, Hive, Pig, etc.).
• Experience with large data sets, 3rd party data acquisition, and operating in a cloud environment.
• Excellent oral and written communication skills, with emphasis on presentation skills.