Why SoftwareOne? What you should know about us: Strip away everything. Strip away our brand, strip away our buildings, strip away our offices. What are we left with? Our people. This is what makes SoftwareOne successful. Passionate people who live and breathe our values every day, who delight our customers, every day, and who go above and beyond, every day. Our culture is unique, and I believe that having the right people, and empowering them to succeed, is the absolute key to our success. -Patrick Winter, Founder. What we expect from our employees: Success at SoftwareOne is not defined by what you do for yourself, but by what you deliver for our customers, the business and for the employees around you. SoftwareOne employees are energized, agile and are laser focused on delivering world class Customer Satisfaction and results. Our leaders motivate and inspire their teams and provide a working environment that delivers incredible levels of Employee Satisfaction. We are Humble, have a very high degree of Integrity and are simply not interested in politics. Our leaders operate with a high level of Discipline but are able to work at Speed manage change in a global economy.    At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.     Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   “With employee satisfaction as one of our core values, we are passionate about diversity and are committed to creating an inclusive environment for all of our employees. We want every employee to have the greatest experience of their career.”  The role For over 30 years, SoftwareOne has been the foundation for organizations worldwide for their technology solutions. With changes in the market from on-premises to cloud, we have always been one step ahead. Underpinning our transitions and evolutions are our seven core values, which we expect from all our current employees and look for in our future colleagues. The global nature of our organization allows us to adapt and commit to these values unique to each location's culture and business needs. Job Summary As a Sr. Data Scientist, you will be an integral member of the team working to acquire, convert, and retain SoftwareOne customers and prospects. The ideal candidate will have strong, end-to-end technical expertise and sales and marketing domain knowledge. They will collaborate with cross-functional teams to develop solutions and drive data-driven actions. You will be expected to contribute to the hands-on building of predictive models (regression, clustering, time series, etc.) to provide detailed insights into the Marketing and Sales functions. Sr. Data Scientist, North America Sales Analytics is a member of the Revenue Intelligence team and reports to the Director, Revenue Intelligence. Roles and Responsibilities What you’ll do (including, but not limited to): Use machine learning, deep learning, and data mining techniques to develop robust predictive models and strategies to drive incremental business results. Design, build, and deploy predictive models, such as customer lifetime value, next-best action, propensity, or time series, to forecast future trends, behavior, or outcomes based on historical data sourced internally and/or externally. Develop and apply marketing measurement capabilities such as A/B testing, marketing mix modeling (MMM), and multi-touch attribution (MTA) to evaluate the performance of our GTM efforts. Evaluate model performance and refine algorithms to improve accuracy, reliability, and scalability. Pull data from the data warehouse, perform feature engineering and back-test models, compare model performances, and communicate the results to stakeholders. Design, analyze, and run simulated and live experiments to drive KPI improvements. Collaborate with sales and marketing stakeholders and cross-functional teams to identify impactful business questions, conduct deep-dive analysis, and provide recommendations through effective communication and storytelling with data. What we offer  Generous base pay with healthy bonus structure that includes accelerators. Independent environment without a lot of red tape where you are empowered to make decisions. Full suite of medical coverage with A+ carriers, Dental and Vision with strong employer contributions Additional voluntary coverage available for Pet, Identity Theft Protection, Accident & Critical Illness 401k program with employer matching 50% up to the first 10% of employee’s contributions Wellness plan that includes credits to premiums and employer contributions towards savings plan of your choice Access to EAP and concierge services Pre-Paid Legal at no cost Plentiful PTO that includes paid holidays, floating holidays, your birthday off, a volunteer day, and vacation time Employee stock purchase plan Learning and development opportunities galore Tuition reimbursement And much more! Specific to Milwaukee-based office employees: company paid parking. Winning culture, inclusive environment, and friendly people all over the world As a culture first organization, being together is how we learn and grow. We come together in-person at least 3 days for collaboration, support, and to have some fun. Where there is no physical location, we give all our employees an equal cultural experience through a remote setting. The preceding job profile has been designed to indicate the general nature and level of work performed by associates within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required. Additional duties may be assigned and may be subject to change at any time due to reasonable accommodation or other reasons. This role has a market-competitive salary and an anticipated base compensation range. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role is also eligible for a performance-based bonus. Targeted comps will be a mix of base and bonus: 145,000-175,000 USD We are not able to consider candidates residing in the state of Hawaii currently. What we need to see from you What you’ll bring 5+ years of experience in data mining, machine learning, statistical analysis (i.e., regression, clustering, time series), and predictive models. Experience with DataRobot is a plus. 3+ years of experience in Databricks or other cloud provider. 3+ years of experience in SQL and other statistical programming languages (e.g., Python, R, etc.) Expertise in building, deploying, maintaining, and enhancing predictive models. Experience with revision control software, such as GitHub Experience with both structured and unstructured data. Experience with ETL and reverse ETL and understand various database structures. Familiarity with data visualization tools, such as PowerBI or Tableau Familiarity with Atlassian Tools such as Jira & Confluence Education: Bachelor’s degree in Data Science, Statistics, Software Engineering, Computer Engineering, Computer Science, or equivalent technical background. Higher education is preferred. Job Function Sales

What you’ll bring 5+ years of experience in data mining, machine learning, statistical analysis (i.e., regression, clustering, time series), and predictive models. Experience with DataRobot is a plus. 3+ years of experience in Databricks or other cloud provider. 3+ years of experience in SQL and other statistical programming languages (e.g., Python, R, etc.) Expertise in building, deploying, maintaining, and enhancing predictive models. Experience with revision control software, such as GitHub Experience with both structured and unstructured data. Experience with ETL and reverse ETL and understand various database structures. Familiarity with data visualization tools, such as PowerBI or Tableau Familiarity with Atlassian Tools such as Jira & Confluence Education: Bachelor’s degree in Data Science, Statistics, Software Engineering, Computer Engineering, Computer Science, or equivalent technical background. Higher education is preferred.

For over 30 years, SoftwareOne has been the foundation for organizations worldwide for their technology solutions. With changes in the market from on-premises to cloud, we have always been one step ahead. Underpinning our transitions and evolutions are our seven core values, which we expect from all our current employees and look for in our future colleagues. The global nature of our organization allows us to adapt and commit to these values unique to each location's culture and business needs. Job Summary As a Sr. Data Scientist, you will be an integral member of the team working to acquire, convert, and retain SoftwareOne customers and prospects. The ideal candidate will have strong, end-to-end technical expertise and sales and marketing domain knowledge. They will collaborate with cross-functional teams to develop solutions and drive data-driven actions. You will be expected to contribute to the hands-on building of predictive models (regression, clustering, time series, etc.) to provide detailed insights into the Marketing and Sales functions. Sr. Data Scientist, North America Sales Analytics is a member of the Revenue Intelligence team and reports to the Director, Revenue Intelligence. Roles and Responsibilities What you’ll do (including, but not limited to): Use machine learning, deep learning, and data mining techniques to develop robust predictive models and strategies to drive incremental business results. Design, build, and deploy predictive models, such as customer lifetime value, next-best action, propensity, or time series, to forecast future trends, behavior, or outcomes based on historical data sourced internally and/or externally. Develop and apply marketing measurement capabilities such as A/B testing, marketing mix modeling (MMM), and multi-touch attribution (MTA) to evaluate the performance of our GTM efforts. Evaluate model performance and refine algorithms to improve accuracy, reliability, and scalability. Pull data from the data warehouse, perform feature engineering and back-test models, compare model performances, and communicate the results to stakeholders. Design, analyze, and run simulated and live experiments to drive KPI improvements. Collaborate with sales and marketing stakeholders and cross-functional teams to identify impactful business questions, conduct deep-dive analysis, and provide recommendations through effective communication and storytelling with data. What we offer  Generous base pay with healthy bonus structure that includes accelerators. Independent environment without a lot of red tape where you are empowered to make decisions. Full suite of medical coverage with A+ carriers, Dental and Vision with strong employer contributions Additional voluntary coverage available for Pet, Identity Theft Protection, Accident & Critical Illness 401k program with employer matching 50% up to the first 10% of employee’s contributions Wellness plan that includes credits to premiums and employer contributions towards savings plan of your choice Access to EAP and concierge services Pre-Paid Legal at no cost Plentiful PTO that includes paid holidays, floating holidays, your birthday off, a volunteer day, and vacation time Employee stock purchase plan Learning and development opportunities galore Tuition reimbursement And much more! Specific to Milwaukee-based office employees: company paid parking. Winning culture, inclusive environment, and friendly people all over the world As a culture first organization, being together is how we learn and grow. We come together in-person at least 3 days for collaboration, support, and to have some fun. Where there is no physical location, we give all our employees an equal cultural experience through a remote setting. The preceding job profile has been designed to indicate the general nature and level of work performed by associates within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required. Additional duties may be assigned and may be subject to change at any time due to reasonable accommodation or other reasons. This role has a market-competitive salary and an anticipated base compensation range. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role is also eligible for a performance-based bonus. Targeted comps will be a mix of base and bonus: 145,000-175,000 USD We are not able to consider candidates residing in the state of Hawaii currently.