Job#: 3051690 Job Description: Senior Data Scientist
Position Summary
We are seeking an experienced
Senior Data Scientist to join our team and drive data-driven innovation across the organization. This role is responsible for leveraging advanced analytics, machine learning, and predictive modeling techniques to solve complex business challenges and influence strategic decision-making. The ideal candidate has a strong technical foundation, proven leadership experience, and a passion for transforming data into actionable insights.
Key Responsibilities
Data Science & Advanced Analytics
- Analyze large, complex datasets to identify trends, patterns, and opportunities that drive business value.
- Develop and implement advanced statistical models and machine learning solutions to address business challenges.
- Design, build, and optimize predictive and prescriptive models using techniques such as deep learning, neural networks, and ensemble methods.
- Lead feature engineering efforts to improve model performance and accuracy.
- Formulate hypotheses and perform rigorous statistical testing to validate business decisions and outcomes.
Machine Learning & Model Deployment
- Develop, train, evaluate, and optimize machine learning algorithms and models.
- Oversee the deployment and monitoring of machine learning solutions in production environments.
- Partner with engineering and data teams to operationalize models and support real-time decision-making applications.
- Design and analyze experiments, including A/B testing frameworks, to measure the effectiveness of business initiatives.
Data Visualization & Communication
- Create impactful dashboards, reports, and visualizations using tools such as Tableau, Power BI, and Python-based visualization libraries.
- Present complex analytical findings and recommendations to both technical and non-technical stakeholders.
- Translate business objectives into data science solutions that support organizational goals.
Collaboration & Leadership
- Collaborate with cross-functional teams including business leaders, engineers, analysts, and domain experts to define and deliver data science initiatives.
- Mentor and develop junior data scientists and analytics professionals.
- Contribute to the organization's data science strategy, roadmap, and best practices.
- Promote a culture of data-driven decision-making across the enterprise.
Governance & Innovation
- Ensure compliance with data privacy regulations, ethical AI principles, and data governance standards.
- Evaluate emerging technologies, tools, and methodologies to continuously improve data science capabilities and business outcomes.
- Drive innovation through the application of advanced analytics and machine learning techniques.
Required Qualifications
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
- 10+ years of professional experience in data science, analytics, machine learning, or a related discipline.
- Extensive experience building and deploying machine learning models in enterprise environments.
- Advanced proficiency in Python, R, Julia, or similar programming languages.
- Strong expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Experience with SQL and working with large-scale relational and non-relational datasets.
- Hands-on experience with big data platforms and distributed computing technologies such as Hadoop and Spark.
- Advanced experience with data visualization tools including Tableau, Power BI, or Python visualization frameworks.
- Strong problem-solving, analytical, and critical-thinking skills.
- Excellent communication skills with the ability to influence stakeholders at all levels of the organization.
- Demonstrated leadership experience mentoring teams and driving enterprise data initiatives.
- Solid understanding of data governance, privacy regulations, and responsible AI practices.
Preferred Qualifications
- Experience in cloud-based analytics environments such as Azure, AWS, or Google Cloud.
- Experience deploying machine learning models using MLOps frameworks and CI/CD pipelines.
- Familiarity with data lake and data warehouse architectures.
- Experience leading large-scale data modernization or AI transformation initiatives.
Why Join Us?
This is an opportunity to influence enterprise-wide strategy through advanced analytics and machine learning while working alongside talented teams to solve meaningful business challenges. You'll play a key role in shaping the future of data science and AI within the organization.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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