Shopify is one of the biggest and most popular e-commerce platforms available for users that can help the owners of various-sized businesses create their online stores. Data Science Manager Fresher was launched in 2006 and has now become a platform for more than a million businesses across the globe selling their products through the internet and providing them with solutions for marketing and shopping tools, payments, shipping, and customer relations.
Shopify the company’s mission is to improve commerce for the people by offering the technology and associated services to the growing business. Based on the highly centralized organization, its top management’s commitment to innovation, and enhanced customer satisfaction, Shopify has remained relevant in the e-commerce market.
- Company: Shopify
- Job Role: Data Science Manager
- Location: Remote – Canada
- Salary: $115K per year
- Qualification: Any Graduate
- Department: Data Insights
- Experience: Experienced or Fresher
Job Description of Data Science Manager Fresher in Shopify:-
Shopify, an industry-leading multi-channel commerce platform, is looking forward to inviting a sharp and ambitious person to develop his or her career with us as a Data Science Manager. This particular opportunity is suitable for a fresher who is eager to kick-start their career in the world of data science, especially working for the growing e-commerce sector.
Therefore, as the Data Science Manager at Shopify, your work will be focused on how to harness data analytics to influence key decisions aimed at the economic improvement of the business. You have a rare opportunity to build your career, get practical experience be a part of a team of professionals, and achieve a variety of extraordinary objectives as a member of a well-known international company.
Role & Responsibilties:-
- Immerse in Work: Encourage going into details on tasks and provide directions as to where the team is likely to encounter hurdles.
- Foster Accountability: Accept individual and organizational faults and continuously use feedback to correct them.
- Continuous Learning: Make sure to be informed about current trends, and motivate the team to do the same as well.
- Leverage Strengths: Exercise your skills and knowledge in decision-making; place the interest of the company above your own or your team’s interest where necessary.
- Encourage Communication: Enhance communication with the target facilities through navigating the relationship towards direct communication with clear expectations and feedback.
- Resolve Conflicts: Promote a high-performing work culture by addressing disputes and a culture where new concepts can be challenged.
- Prioritize Work: Keep on pacing and syncing with the required workflow, while keeping an eye only on projects and assignments of utmost importance or of course the mission.
- Take Calculated Risks: Be aware of their decisions and implement appropriate solutions to avoid or solve problems.
Qualifications Required:-
- Mastery in three and half years of data science work in various fields where utilizing data science to generate solutions for intricate business questions.
- Leadership in the creation of successful data science teams from the ground up as well as experience with managing advanced and effective data science teams.
- Positive outcomes in both the empirical and commercial sense as it relates to the delivery of business value.
- Personnel with technical and management competency level, coding know-how, and capability to build up team strength.
- How can the use of data to support the development of a new product can be explained?
- The main strength concerns numerical proficiency and practical usage of the A/B testing.
- Management of priorities and front-end communication strategy for detailed technical information.
- Knowledge regarding ETL design options and creation of data pipelines.
Key Skills Required:-
- Data Science Expertise: Holds prior experience in solving challenging business issues that make a high impact.
- Team Leadership: Previous experience in building and leading superior data science personnel.
- Technical Skills: Code proficiency and technical experience as well as leadership skills.
- Product Development: Ensure that data has been utilized in developing new products.
- Statistical Methods: High level of numerical understanding along with the practical application of the concept of experimentation.
- Effective Communication: Communication skills of the candidate particularly focusing on prior its selection and the capability of the candidate to work in a technical environment & prepare documentation both for technical and nontechnical managers.
- Data Pipeline Development: Direct working experience in the construction of data pipelines, as well as, ETL planning.
Why Join Shopify:
At Shopify, you’ll be part of a vibrant and inclusive community that values innovation, creativity, and private boom. We provide a dynamic painting environment, competitive reimbursement, and opportunities for expert development. Join us to make a good-sized impact inside the global of e-trade and help entrepreneurs prevail globally.
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