Senior Data Scientist
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Data Scientist with strong analytical skills to join our team and address business challenges using machine learning and deep learning methodologies.
Responsibilities
- Identifying business challenges
- Using machine learning / deep learning methodologies to address business challenges
- Presenting the findings in a clear and informative way
- Working in a team and creating solutions to real-life problems
- Mentoring junior and middle-level specialists
Requirements
- Strong analytical and problem-solving skills
- Data focused applied mathematics (statistical analysis, machine learning)
- Understanding of Machine Learning / Deep Learning methodologies, math, and tricks
- Understanding of data structures and algorithms
- RDBMS knowledge
- Programming experience: Python and C++ preferred
- Experience in production of Data Science projects (3+ years)
- Data visualization skills
- Advanced Linux user
- Familiarity with version control systems (Git, etc.)
- Good communication skills and ability to convey complex ideas in a concise manner
Nice to Have
- Degree in Computer Science or related field
- Experience in Python back-end development
- Experience with machine learning cloud platforms
- Experience in distributed systems development (distributed neural networks training)
- Experience with Docker
We Offer
- Competitive salary
- Opportunity to work on cutting-edge projects
- Collaborative and innovative work environment
- Professional growth and development opportunities
About the Company
We offer a comprehensive range of services, including IT consulting, custom software development, and specialized expertise in blockchain, machine learning, and data science.
© PixelPlex. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
FinTech & banking,Retail & eCommerce,Supply chain & logistics,Healthcare,Real estate
About the Company PixelPlex is an award-winning custom software development company with a proven track record, a mix of broad technology expertise, and over 100 talented developers. Founded in 2007, PixelPlex has delivered over 300 projects. Products, Services & Tech Stack Core Solutions Blockchain Development Services: dApps, NFT marketplaces, complex blockchain protocols, risk management systems, smart contract development & audit, DApp development, STO development, and Web3 project launch. Custom Software Development: Web development, UI/UX design, accessible web design, DevSecOps, and custom solutions. AI Development Services: AI consulting, ML development, computer vision implementation, predictive analytics model creation. Data Analytics & Visualization: Data visualization, business intelligence, data analytics, big data engineering. Technologies & Frameworks Blockchain Artificial Intelligence Big Data Web Development Mobile App Development Project Scope & Target Clients Client Base FinTech & Banking: Digital finance challenges, risk management, compliance software, STO/tokenization platforms. Retail & eCommerce: Digital marketplaces, retail POS software, goods order and delivery platforms. Supply Chain & Logistics: Route optimization, intelligent warehouse management, fleet management, certification and logistics platforms. Healthcare: EHR/EMR systems, telemedicine software, ML-powered analysis and reporting solutions. Real Estate: Real estate marketplaces, document management solutions, immersive tours, real estate tokenization solutions. Oil & Gas: Safety monitoring apps, BI-powered systems, energy resource tokenization platforms. Manufacturing: Inventory tracking, quality control, predictive maintenance. Automotive: Dealership management solutions, automotive analytics, transportation management apps, telematics systems. Insurance: Claim management, billing, customer-related processes. Engineering Scale Startups: Aiding through launch challenges, collecting best practices for earning investor trust and sparking user interest. Small Businesses: Optimizing operations, streamlining processes, implementing growth strategies. Enterprises: Guiding ventures from pilots to value-adding solutions.