Lead Data Scientist at Digital Solutions Plus

The role of a Lead Data Scientist at Digital Solutions Plus may need maybe just more than group gatherings, duty execution, and perhaps view oversights and more; who knows? Getting this role could help improve one’s qualifications, but there are steps to it, do read on.

The lead data scientist role is a leadership role which requires one who is employed as such to drive the data science team of the company to offer insights from large volumes of data to information on business strategies at the highest level. 

As a data-driven organization, Digital Solutions Plus relies on advanced analytics, machine learning, and artificial intelligence to keep it ahead in competitions. That is why the company is in need of a competent lead data scientist with competence, diligence and creativity.

Lead Data Scientist at Digital Solutions Plus

But it is important that before you pick up the role in Digital Solutions plus, you know and understand the tasks that you will be required to carry out.

You must also keep yourself abreast of the basic requirements that you must have before even landing the job. Some such requirements as documents that will be requested from you during your application process, as well as how to apply for the job, are all clearly explained below.

Key Responsibilities

• Responsible for leading this team of data scientists, making sure they are effective in their various projects, like mentorship, managing workloads, and ensuring the team remains motivated.
• Collaborate across a number of different functions, and drive key, high-profile data projects that are central to company objectives. 
• Employ a strategic dimension in that you’ll be asked to formulate data strategies looking ahead and ensuring state-of-the-art tools and technologies are applied to maximum benefit.
• Conduct in-depth data analysis to extract actionable insights that help drive business decisions forward.
• Design predictive models using machine learning algorithms and apply statistical modeling, leveraging AI for pattern and trend detection in data.
• Responsible for marketing, product development, and operations to align data solutions with the overall goals and objectives of the company.
• Translating complex data insights into practical strategies for non-technical stakeholders.
• Lead multiple data science projects to ensure the delivery of projects on time with quality; this will include setting project objectives, defining timelines, and ascertaining proper resource allocation.
• Develop the data strategy and lead the execution in support of business growth and innovation. Also, maintain company awareness of state-of-the-art technologies and tools across data science and analytics.
• Create clear, actionable reports, dashboards, and visualizations using data to help drive business decisions among key stakeholders.

As a lead, one is expected to keep updates about the latest in industry trends and advancements in data science, machine learning, and AI so that your team is always guided in using the best tools and techniques available.

READ ALSO:

• MAC Consult is Hiring
• Product Manager at First Bank
• Lead UX Writer / Content Designer at Moniepoint
• Digital Marketer at Swift Consulting

Job Requirements

• The candidate should possess a master’s or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a relevant field. Advanced degrees are desired, as would reasonably be expected for such a highly technical position.
• At least 5 years of experience in the domain of data science or a related field is expected, out of which at least 2 years of experience in a leadership or management role.
• Proven expertise in working with large datasets, creating data pipelines, and deploying machine learning models. A background of managing teams and working on cross-functional projects is considered a great advantage.
• Candidate should be proficient in Python, R, and SQL; however, expertise in other programming languages such as Java or Scala will be an added advantage.
• Proficient in data analysis tools like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Ability to create insightful data visualizations using Tableau, Power BI, or Matplotlib.
• Strong understanding of machine learning algorithms and AI techniques for predictive modeling, classification, regression, clustering, and deep learning.
• Must be good in Hadoop, Spark, or AWS within big data platforms would be added assets.

 Specific Documents Required for Application

• Your resume should reflect your educational background, relevant work experience, technical skills, and leadership roles. Kindly include any specific project related to data science, particularly those projects showcasing team management or implementation of data-driven solutions.
• A tailored cover letter is required. Use it to explain why you are a perfect fit for the position, focusing on experience in data science and leadership. 
• Prepare a list of professional references that speak to your experience and qualifications. These should be individuals who have overseen and managed your work or with whom you have worked on projects relevant to data science.
• If you possess certifications related to the data science, machine learning, or big data lines of work-such as AWS Certified Data Analytics or TensorFlow Developer Certification-include those here in your application.

How to Apply

Access the official website of Digital Solutions Plus and look in the careers section and search for Lead Data Scientist and then apply.