Data Scientist (Machine learning) (IT)

We are a software-focused IT solutions and services provider that equips organizations to be agile and innovative, and for their people to be engaged, connected, and creative at work. That means moving them to the cloud, helping them build the workplace of tomorrow, and enabling them to make smarter decisions about their technology. By doing these things we help them create success for their customers and their people.

We stand proudly for our people and support their success through career development and advancement. We are recognized and respected for our culture of inclusion and belonging, continuously striving to do what’s good for our people and communities.

As Data Scientist, Pricing you will be responsible for turning large data sets into actionable analytics and optimizing our pricing guidance platform, to drive annual margin improvements. The Data Scientist, Pricing will work with Business Development Category leaders; Sales and Services leaders to develop and implement the governance, policies and processes for solution pricing that maximize business value and drive sales and profitability.

Manage the development of robust commercial pricing models; clearly presenting inputs and outputs from the models to senior leaders and other stakeholders to drive decision making.

Develop quantitative, actionable insights that drive decision-making through the application of statistical, and/or advanced data analytics techniques.

Gather and maintain competitive intelligence from a variety of sources in a standardized manner, to ensure broad knowledge of competitive actions, and assist in the development of market benchmarking activities.

Validate and enhance current pricing governance, policies, rules and processes (e.g. pricing floors/ceilings, approvals, etc.) Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyperparameter tuning for machine learning, and deployment.

Design and implement scalable machine learning systems and infrastructure.

Optimize data pipelines for preprocessing, feature engineering, and model training.

Collaborate with DevOps teams to ensure seamless integration of Machine Learning models into production.

Stay updated with the latest advancements in machine learning, DevOps, and cloud technologies.

Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions.

Maintains and enhance a set of critical data models supporting our business use cases.

5+ years of experience of pricing strategy and implementation

• 3+ years of experience in data engineering, analytics and data sciences
• MBA considered an asset
• Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
• Proficiency in one or more visualization tools like Tableau, Power BI etc.
• Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
• Ability to work successfully in a project team environment
• Whether you are new to corporate tech, returning to work after a gap in employment, or looking to transition and take the next step in your career, we are excited to learn more about you and encourage you to apply.

At Softchoice, we are dedicated to achieving our goals and committed to success for our customers and each other

Flexibility: Plan your workdays in a way that suits you best

Inclusion & Equal Opportunity Employment

We are an equal opportunity employer committed to diversity, inclusion & belonging. People seeking employment at Softchoice are considered without regard to any protected category including but not limited to, race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation.

We are ready to help:

With that in mind, we have implemented digital interviewing for everyone. We understand that you may need to interview with distractions around you (such as children or furry friends) and we will be doing the same.

Before you start with us, we will conduct a criminal record check, verify your education, and check your references.

When you join Softchoice, we will onboard you remotely. EoE/Vet/Disability