data science specialist

<div>
 
 📣We are looking for a
 
 Data Science Specialist
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
 </li>
 <li>
 Translate strategic goals into actionable data science projects and team roadmaps.
 </li>
 <li>
 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
 <li>
 Promote best practices in model governance, data quality, and reproducibility.
 </li>
 <li>
 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
 </li>
 <li>
 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 3+ years of experience in data science or analytics.
 </li>
 <li>
 Proven experience in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
 </li>
 <li>
 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
 </li>
 <li>
 Strategic thinker who can translate business goals into actionable data projects.
 </li>
 <li>
 Passionate about mentoring and developing a high-performing team.
 </li>
 <li>
 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Data Science Specialist

Xceedance

<div>
 
 
 Role Overview
 
 
 
 We seek a motivated Junior Generative AI Developer to design, implement, and optimize cutting-edge generative AI solutions. You&rsquo;ll work closely with senior engineers to build applications leveraging LLMs (e.g., GPT-4, Claude, Gemini), diffusion models, and multimodal systems while adhering to ethical AI practices. This will be a hands-on individual contributor role.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ol>
 <li>
 
 Model Development &amp; Fine-Tuning
 
 </li>
 </ol>
 <ul>
 <li>
 Assist in developing, training, and fine-tuning generative models (text, image, code) using frameworks like PyTorch, TensorFlow, or JAX.
 </li>
 <li>
 Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains.
 </li>
 </ul>
 <ol>
 <li>
 
 Tooling &amp; Integration
 
 </li>
 </ol>
 <ul>
 <li>
 Build applications using tools like LangChain, LlamaIndex, or Hugging Face Transformers.
 </li>
 <li>
 Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows.
 </li>
 </ul>
 <ol>
 <li>
 
 Prompt Engineering
 
 </li>
 </ol>
 <ul>
 <li>
 Design and test advanced prompting strategies (e.g., few-shot learning, chain-of-thought, ReAct frameworks) for domain-specific tasks (legal, healthcare, finance).
 </li>
 <li>
 Create reusable prompt templates for common workflows (customer support, code generation, content moderation).
 </li>
 </ul>
 <ol>
 <li>
 
 Evaluation &amp; Optimization
 
 </li>
 </ol>
 <ul>
 <li>
 Develop metrics for hallucination reduction, output consistency, and safety alignment.
 </li>
 <li>
 Optimize model inference costs using quantization, distillation, or speculative decoding.
 </li>
 </ul>
 <ol>
 <li>
 
 Collaboration
 
 </li>
 </ol>
 <ul>
 <li>
 Work with cross-functional teams (product, data engineers, UX) to deploy AI solutions.
 </li>
 <li>
 Document technical processes and contribute to knowledge-sharing sessions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Education
 
 : Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, or related field.
 </li>
 <li>
 
 Technical Skills
 
 :
 </li>
 <li>
 Proficiency in Python and familiarity with AI/ML libraries (PyTorch, TensorFlow).
 </li>
 <li>
 Basic understanding of NLP (tokenization, attention mechanisms) and neural architectures (Transformers, GANs).
 </li>
 <li>
 Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
 </li>
 <li>
 Proficiency in prompt engineering tools: LangChain, DSPy, Guidance, or LMQL.
 </li>
 <li>
 Experience with AI deployment tools: FastAPI, Docker, or MLflow for model serving
 </li>
 <li>
 
 AI/GenAI Exposure and experience with at least two of the following:
 
 </li>
 <li>
 Hands-on projects with LLMs (fine-tuning, prompt engineering) or diffusion models.
 </li>
 <li>
 Familiarity with vector databases (Pinecone, Milvus) and orchestration tools.
 </li>
 <li>
 Fine-tuning/training LLMs (e.g., Llama 2, Mistral) using LoRA, QLoRA, or RLHF.
 </li>
 <li>
 Building RAG pipelines with vector DBs (Pinecone, Weaviate) and embedding models (BERT, OpenAI text-embedding).
 </li>
 <li>
 Developing applications with diffusion models (Stable Diffusion, DALL-E) or autoregressive architectures (GPT variants).
 </li>
 <li>
 Contributions to NLP projects (sentiment analysis, NER, text summarization) using libraries like spaCy or NLTK.
 </li>
 <li>
 
 Soft Skills
 
 :
 </li>
 <li>
 Strong problem-solving abilities and curiosity about emerging AI trends.
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
 Preferred Qualifications Additions
 
 
 <ul>
 <li>
 Certifications:
 </li>
 <li>
 
 Azure
 
 : Microsoft Certified: Azure AI Engineer Associate.
 </li>
 <li>
 
 GCP
 
 : Google Cloud Professional Machine Learning Engineer.
 </li>
 </ul>
 
 
</div>

<div>At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
This Position reports to:
R&amp;D Team Lead<h3 class="jobSectionHeader"> 
</h3><div>
Your role and responsibilities: 
 
In this role, you will have the opportunity to initiate and drive technology, software, product, and/or solution development using in-depth technical expertise in a specific area. Each day, you will act as the first point of contact in Research and Development (R&amp;D) for in-depth product or technology-related issues. You will also showcase your expertise by supporting strategic corporate technology management and future product/software/solution architecture. 
 
The work model for the role is: #LI-Hybrid 
 
This role is contributing to the Motion Business Service Division in Bangalore, India 
 
You will be mainly accountable for:<ul><li>
Conduct exploratory data analysis on time series data to support the design and development of robust algorithms.</li><li>
Stay abreast of cutting-edge advancements in AI, including Physics-Informed Models, Large Language Models (LLMs), Agentic AI, and Digital Twin technologies.</li><li>
Apply state-of-the-art techniques to identify new use cases and enhance existing algorithms with minimal supervision.</li><li>
Continuously improve algorithm performance by designing validation methods and defining evaluation metrics.</li><li>
Collaborate cross-functionally with stakeholders to productize solutions, unlock new business opportunities, and enable innovative use cases.</li><li>
Translate complex analytical concepts into clear, compelling narratives for non-technical stakeholders using storytelling and visualization.</li><li>
Lead experimentation, manage model versioning, and monitor performance in production environments.</li><li>
Work within a global agile development team, contributing to sprint planning, reviews, and continuous integration and mentor or guide junior data scientists, fostering a culture of learning and innovation.</li></ul></div><div> 

Qualifications for the role:<ul><li>
Experience: Minimum of 8 years of hands-on experience in key areas relevant to industrial AI and diagnostics with Master&rsquo;s or Doctoral degree in Data Science, with a Bachelor&rsquo;s degree in Computer Science, Electrical, Mechanical Engineering, or a related field. A strong academic track record is preferred.</li><li>
Proven expertise in developing detection, diagnostic, predictive, and recommendation models using statistical, mathematical, and machine learning techniques.</li><li>
Solid understanding of fault mechanisms in rotating equipment and condition monitoring of frequency converters.</li><li>
Proficiency in time series analysis, including FFT, wavelet transforms, and spectral analysis.</li><li>
Strong software development skills, preferably in Python. Familiarity with firmware development (e.g., C) and experience with Microsoft Azure DevOps is a plus and In-depth knowledge of machine learning, Generative AI, and Agentic AI concepts and applications.</li><li>
Understanding of IoT architectures, REST APIs, and data engineering tools. Experience with Docker, Kubernetes (for deployment), and firmware technologies is advantageous.</li><li>
Familiarity with LLM fine-tuning, prompt engineering, text generation, summarization, question answering (Q&amp;A), conversational AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.</li><li>
Excellent verbal and written communication skills, with a proven ability to engage and collaborate effectively with diverse stakeholders.</li></ul></div><div> 

More about us: 
 
ABB Motion Services helps customers around the globe by maximizing uptime, extending product life cycle, and enhancing the performance and energy efficiency of electrical motion solutions. We enable innovation and success through digitalization by securely connecting and monitoring our customers&rsquo; motors and drives, increasing operational uptime, and improving efficiency. We make the difference for our customers and partners every day by keeping their operations running profitably, safely and reliably.</div> 
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. 
We never ask for money from job applicants.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.</div>

Senior AI and Data Science Specialist

Accenture

<div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.
What&rsquo;s in it for you?
&#10024;Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program
Transportation: Shuttle service / Transportation support
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div>
 
<div>We are looking for Data Scientists, who already enjoy working with high-end technologies on various exciting multinational projects!
Key Responsibilities:<ul><li>
Initiating and participating in projects in the area of prediction, optimization, and process improvements,</li><li>
Collecting and interpreting data,</li><li>
Automating and integrating processes,</li><li>
Researching solutions to overcome data analytics challenges,</li><li>
Developing complex mathematical models that integrate business rules and requirements,</li><li>
Proficient in writing analytical algorithms and knowing when to apply them. Having an in depth understanding of algorithms used in the field,</li><li>
Communicating and meeting with engineers and other stakeholders,</li><li>
Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders,</li><li>
Capable of taking a Data Science project end-to-end.</li></ul> 
Required Qualifications:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in Computer Science or related disciplines,</li><li>
3+ years industry experience,</li><li>
Proficient in one or more data science related programming languages such as Python, R, etc.,</li><li>
Excellent understanding and hands on experience in statistical modeling, machine learning algorithms, deep learning, and basic AI practices,</li><li>
Familiarity with Apache big data family stack (Hadoop, Hive, Kafka, Spark ..),</li><li>
Ability to understand and manipulate unstructured data from different platforms,</li><li>
Experience in using query languages such as SQL, Hive, Pig,</li><li>
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase,</li><li>
Excellent problem-solving skills and a high degree of intellectual horsepower,</li><li>
Strong written and verbal communication skills in English.</li></ul>
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals.
#GreatPlaceToWork
Apply Now!</div>

Data Scientist

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Tata Elxsi

<div>
 
 
 Purpose of the role:
 
 
 
 As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.
 
 
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement machine learning models and statistical algorithms.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
 </li>
 <li>
 Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn.
 </li>
 <li>
 Communicate findings clearly to stakeholders through reports and presentations.
 </li>
 <li>
 Continuously improve data processes and model performance.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
 </li>
 <li>
 Machine learning, data science skills with strong programming background in python.
 </li>
 <li>
 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
 </li>
 <li>
 Great communication skills.
 </li>
 <li>
 Good Analytical skills
 </li>
 <li>
 Data-oriented personality
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Spark, Hadoop, Kafka,
 </li>
 <li>
 AWS/ Azure/ Google Cloud
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Spark (AWS EMR, Databricks), AWS Lambda
 </li>
 <li>
 Spark Streaming and Batch
 </li>
 <li>
 Avro, Parquet
 </li>
 <li>
 Stream Data Platforms: AWS Kinesis
 </li>
 <li>
 MySQL, Cassandra, HBase, MongoDB, RDBMS
 </li>
 <li>
 Caching Frameworks(ElasticCache/Redis)
 </li>
 <li>
 Elasticsearch, Beats, Logstash, Kibana
 </li>
 <li>
 Java, Scala, Go, R
 </li>
 <li>
 Git, Maven, Gradle, Jenkins
 </li>
 <li>
 Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
 </li>
 <li>
 Linux
 </li>
 <li>
 Presto, Athena
 </li>
 <li>
 Keras, Pandas)
 </li>
 <li>
 Visualization suite (AWS Quicksight, Grafana)
 </li>
 </ul>
</div>

Lowe's India

<div>
 
 About Lowe&rsquo;s
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need.
 
 
 For more information, visit Lowes.com
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability.
 
 
 For more information, visit Lowes India
 
 
 
 About The Team
 
 
 
 DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions.
 
 
 
 Job Summary
 
 
 
 The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization.
 </li>
 <li>
 Develop and maintain pipelines for training and deploying machine learning models
 </li>
 <li>
 Develop and maintain forecasting models and tools using frameworks such as TensorFlow
 </li>
 <li>
 Design and deploy scalable API services for distributing model output data
 </li>
 <li>
 Support enterprise forecasting applications
 </li>
 <li>
 Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions
 </li>
 <li>
 Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices
 </li>
 <li>
 Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's
 </li>
 <li>
 Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data
 </li>
 <li>
 Provides actionable insights through data science on Merchandising priorities
 </li>
 <li>
 Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics
 </li>
 <li>
 Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's
 </li>
 <li>
 Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members
 </li>
 <li>
 Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager
 </li>
 <li>
 Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly
 </li>
 <li>
 Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope
 </li>
 <li>
 Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies
 
 
 </li>
 </ul>
 
 Years Of Experience
 
 
 
 <ul>
 <li>
 2-5 years of experience in data science
 
 
 </li>
 </ul>
 
 Required Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also
 </li>
 <li>
 Knowledge of SQL and various statistical modeling or machine learning techniques
 
 
 </li>
 </ul>
 
 Skill Set Required
 
 
 
 
 Primary Skills (must have)
 
 
 
 <ul>
 <li>
 Hands on experience in AI/ML
 </li>
 <li>
 Hands on experience in Python to build applications that are scalable
 </li>
 <li>
 Statistics
 </li>
 <li>
 Strong problem solving skills
 </li>
 <li>
 Data munging/wrangling
 </li>
 <li>
 Experience with SQL
 
 
 </li>
 </ul>
 
 Secondary Skills (desired)
 
 
 
 <ul>
 <li>
 Experience with Big Data systems like Hadoop or Big Query or Druid
 </li>
 <li>
 Experience solving data science problems in retail
 
 
 </li>
 </ul>
 
 Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
 
 
 
 Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
</div>

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