Apolis · 1 day ago
Data Scientist
Bentonville, AR
Full-time
Onsite
Senior Level, Lead/Staff
$0/hr - $.10/hr
5+ years expApolis is seeking experienced Data Scientists at various levels including Staff, Principal, and Manager roles. The position involves developing AI/ML models, collaborating with cross-functional teams, and advancing intelligent systems that leverage large language models for business insights.
ConsultingEnterprise ApplicationsEnterprise Resource Planning (ERP)Information TechnologyIT InfrastructureIT ManagementMobileSoftwareWeb Hosting
Responsibilities
Develop LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data
Build and optimize personalized Q&A systems using large language models,enabling context-aware responses tailored to user needs
Design and enhance conversational talent recommendation systems, combining autonomous agent architectures with personalized recommendation algorithms
Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent
Construct multi-agent intelligent workflows that translate natural language inputs into complex goal-directed task sequences
Collaborate within a highly cross-functional team, including data scientists,machine learning engineers, product managers, and UX designers
Partner with fellow data scientists to design, prototype, and iterate on AI/ML models and system architectures
Work closely with machine learning engineers to deploy, monitor, and optimize scalable AI/ML solutions in production environments
Collaborate with product managers to design intuitive user experiences, define feedback loops, and analyze user telemetry to guide product improvements
Engage in end-to-end AI/ML product development, from ideation to deployment, while continually expanding your technical and product skillset
Follow and help define robust development standards to ensure the creation of trustworthy, safe, and responsible AI systems
Contribute to internal and external AI/ML research through experimentation, whitepapers, and collaboration with the broader AI community
Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce
Drive execution of developing models and systems
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Remain up to date on ongoing research and development activities in the team
Work with data scientists to design, architect, and build AI/ML/DL model and model systems
Work with machine learning engineers to deploy, operate, and optimize scalable solutions
Qualification
Required
Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field
Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems
Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models
Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment
Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools
Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc
Proven experience deploying high-risk NLP applications in real-world, production environments—such as those involving regulatory compliance, privacy, safety, or fairness
Demonstrated ability to advance and implement Trustworthy AI and Responsible ML practices, working cross-functionally with engineering, legal, policy, and product stakeholders across a large enterprise
Track record of mentoring and coaching junior data scientists, especially in navigating ambiguous or novel problem spaces
Strong applied machine learning experience, with solid foundational knowledge in statistics, optimization, and deep learning—preferably gained at leading technology companies (e.g., Google, Meta, Microsoft) or AI-first startups
Excellent communication skills with the ability to synthesize complex technical work into accessible insights for executive briefings, research publications, and external presentations
Advanced proficiency in Python and common ML/DS libraries such as NumPy, pandas, scikit-learn, as well as deep learning frameworks like TensorFlow, PyTorch
Experience designing and deploying scalable deep learning systems, including neural network architecture optimization, model distillation, quantization, or on-device inference
Strong understanding of machine learning infrastructure, including experience with Kubeflow, MLflow, Airflow is a plus
Experience in NLP, LLM, Timeseries, Traditional ML techniques
Experience in data science and machine learning for retail; e-commerce
Experience in managing a mid-size internal team of data scientists and MLEs
Experience leading and completing cross-functional projects
Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines
Strong influencing and interpersonal skills
Detail and results-oriented with sense of urgency
Preferred
Experience with Big Data processing and feature engineering using Spark
Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
Hands on experience of designing and training large DL models on GPU
Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the design of modern recommender systems
Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization
Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR
Company
Apolis
Apolis is a IT consultancy that offers provides ERP solutions, hosting, assessment, web and mobile, IT staffing and IT workforce solutions.
501-1000 employees
H1B Sponsorship
Apolis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (15)
2022 (15)
2021 (12)
2020 (122)
Funding
Current Stage
Late StageLeadership Team
Amar Shokeen
President/ CEO
Rita Shokeen
COO
Company data provided by crunchbase