Welcome to careeraxis – Where Data Fuels the Future
careeraxis is a global leader in innovative retail technology, leveraging massive data ecosystems to transform how millions of shoppers experience commerce every day. Our mission is to turn raw data into actionable intelligence that powers everything from personalized recommendations to supply‑chain optimization. As we expand our Information Sciences division, we are looking for visionary data professionals who are eager to shape the next generation of AI‑driven solutions.
Whether you are a seasoned data scientist or a talented newcomer with a passion for machine learning, this role offers a unique blend of cutting‑edge research, product impact, and real‑world problem solving—all from the comfort of your own home.
Why This Role Stands Out
At careeraxis, you will be at the heart of a fast‑moving, high‑visibility team that builds generative AI (GenAI) platforms, large‑scale model pipelines, and data‑driven products used by millions of customers worldwide. You’ll collaborate with engineers, product managers, and business stakeholders to design, develop, and deploy AI solutions that directly influence revenue, customer satisfaction, and operational efficiency.
Key Responsibilities
- End‑to‑End Model Development: Design, prototype, and productionize generative AI and deep‑learning models that address core business challenges such as demand forecasting, recommendation engines, and search relevance.
- Data Pipeline Architecture: Build robust, scalable data pipelines using Python, SQL, Hadoop/Hive, and Spark/Scala to ingest, clean, and transform petabyte‑scale datasets.
- Model Evaluation & Monitoring: Implement continuous evaluation frameworks, automated testing, and monitoring dashboards to ensure model performance, fairness, and reliability in production.
- Cross‑Functional Collaboration: Partner with product owners, UX designers, and engineering squads to translate business requirements into technical specifications and deliver AI‑powered features on schedule.
- Research & Innovation: Stay ahead of emerging trends in generative AI, large language models, and reinforcement learning; prototype novel approaches and publish findings internally.
- Mentorship & Knowledge Sharing: Lead code reviews, host brown‑bag sessions, and mentor junior data scientists and analysts across multiple geographic locations.
- Documentation & Governance: Produce clear, comprehensive documentation for data schemas, model architectures, and deployment processes to meet internal compliance and audit standards.
Essential Qualifications
- Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering, or related field) or equivalent practical experience.
- Minimum of 3 years of professional experience in data science, machine learning, or AI research.
- Proven expertise in Python programming, including libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
- Hands‑on experience with SQL and big‑data technologies (Hadoop, Hive, Spark, or equivalent).
- Solid understanding of statistical modeling, experimental design, and hypothesis testing.
- Demonstrated ability to translate complex data insights into clear, actionable business recommendations.
- Excellent communication skills—both written and verbal—with the ability to convey technical concepts to non‑technical audiences.
- Self‑motivated, results‑driven, and comfortable meeting tight deadlines in a remote, distributed environment.
Preferred Qualifications & Nice‑to‑Have Skills
- Master’s or PhD in a quantitative field, with a focus on machine learning, deep learning, or natural language processing.
- Experience building and deploying generative AI models (e.g., GPT‑style language models, diffusion models, or transformer‑based architectures).
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Knowledge of MLOps best practices, including CI/CD pipelines for model training and serving.
- Track record of publishing research papers, patents, or open‑source contributions.
- Experience working in a fast‑paced retail or e‑commerce environment.
- Understanding of accessibility and compliance standards such as the Americans with Disabilities Act (ADA).
Core Skills & Competencies for Success
- Analytical Rigor: Ability to dissect large, messy datasets and extract meaningful patterns.
- Creative Problem‑Solving: Invent innovative solutions when standard approaches fall short.
- Collaboration: Thrive in cross‑functional teams, respecting diverse perspectives and time zones.
- Continuous Learning: Proactively stay current with the latest AI research and industry best practices.
- Storytelling with Data: Craft compelling narratives using visualizations, dashboards, and executive summaries.
- Code Quality: Write clean, testable, and well‑documented code following industry standards.
Career Growth & Learning Opportunities
At careeraxis, your career trajectory is limited only by your ambition. We invest heavily in professional development through:
- Annual education stipend for conferences, certifications, or advanced degrees.
- Internal AI research labs where you can lead exploratory projects.
- Mentorship programs pairing you with senior leaders in data science and product strategy.
- Rotational assignments across different business units (e.g., Marketing, Supply Chain, Customer Experience) to broaden your domain expertise.
- Opportunities to publish findings in industry journals or present at global AI symposiums.
Work Environment & Culture at careeraxis
We believe that great work emerges from an inclusive, supportive, and flexible environment. As a fully remote role, you will enjoy:
- Flexible working hours that respect your personal rhythm and time zone.
- A collaborative virtual office with regular video stand‑ups, coffee chats, and team‑building activities.
- Commitment to diversity, equity, and inclusion—our teams reflect a wide range of backgrounds, experiences, and perspectives.
- Access to state‑of‑the‑art hardware and cloud credits to accelerate experimentation.
- Wellness programs, mental‑health resources, and generous paid time off to maintain work‑life harmony.
Compensation, Perks & Benefits
While exact figures vary based on experience and location, careeraxis offers a competitive salary benchmarked at $32 per hour (or equivalent annualized compensation for full‑time employees). In addition to base pay, you will receive:
- Performance‑based bonuses tied to project impact and business outcomes.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement savings match.
- Equity participation—share in the company’s long‑term success.
- Generous parental leave and family‑friendly policies.
- Professional development budget and tuition reimbursement.
- Home‑office stipend for ergonomic furniture, high‑speed internet, and equipment.
How to Apply
If you are excited about shaping the future of AI‑driven retail, love tackling complex data challenges, and thrive in a remote, collaborative setting, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter highlighting a project that showcases your data science expertise.
Apply Now – Join careeraxis and Build the Future of Intelligent Commerce
We Look Forward to Meeting You!
At careeraxis, every line of code, every model, and every insight moves the needle for millions of shoppers worldwide. Join us, and together we’ll turn data into the most powerful engine of innovation.
Apply for this job