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Lead Data Scientist Poland or Remote

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Lead Data Scientist Description

Job #: 82592
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

You can work remotely or join one of our offices, which are located in Warsaw, Krakow, Katowice, Wroclaw and Gdansk.

The remote option applies only to the Candidates who will be working from any location in Poland.


DESCRIPTION


In this role, you will be the leading subject matter expert driving the business enablement both on the client side defining the architectural choices during all stages of exciting presales opportunities for world leading companies and on delivery side implementing them, as well as providing thought leadership within the fast-growing Data Practice and Competency Center.
We are supporting Employment Contract or B2B, depending on your preferences.

Responsibilities

  • Business Enablement:
    • Lead the strategic planning, development and implementation of medium-to-large data science solutions or a component of a larger solution, including predictive modeling, unsupervised and supervised learning, and machine learning techniques
    • Lead on all stages of presales activities for such projects, owning the whole presale process from the Competency Center perspective when required. Manage the delivery of architectural POCs, where required
    • Interact with clients, advise, and drive the translation of business requirements and models into appropriate architectural designs to ensure that business needs are met
    • Work directly and collaboratively with clients, external data providers, and other key stakeholders to ensure that the solution’s concept/vision is understood and agreed upon
    • Actively participate in project review and planning sessions. As needed, lead the solution development, drive, and supervise end-to-end development cycle (SDLC) or participate in the projects start-up
    • Be accountable for applications-related quality, performance, availability, scalability, security, and integrity, ensuring application usability, for instance, through a high-quality functional interface to applications. Identify and mitigate risks associated with specific solution in known contexts
    • Be accountable for ensuring architectural consistency of recommended technology and its integration with the client’s applications and infrastructure. Identify and mitigate risks associated the implemented solution in all relevant contexts of the project and wider program
    • Manage the architectural knowledge transfer from the project development team to the post-go-live support team. Oversea or effect the creation of architectural case study for EPAM’s repository of reusable assets
  • Technology Vision, Thought Leadership, and Depth:
    • Drive the strategic visioning activities for the practice and competency center. Develop reusable assets, development methods, processes, best practices to accelerate delivery. Coordinate SA pool on those activities
    • Drive the program of evaluating the hardware and software platforms, benchmarking of alternative solution architectures, supervise a defined process for provision of structured, reusable results. Coordinate the direction of R&D activities by SA pool
    • Keep pace with the innovative technologies and consider possibilities of creating relevant solution offerings. Coordinate architects in developmental direction choice
    • Consult and supervise all team members, share knowledge. Participate in the assessment of the candidates for SA position. Mentor other Solution Architects in practical SA activities. Provide technical guidance and career-planning assistance
    • Write broad topic and strategic white papers during industry and technology research
    • Maintain high competency visibility by regular posting in internal newsletters, blogs as well as speaking at internal and external conferences and other events; Create blueprints on customer request. Create technology road
    • Analyze large data sets to discover trends, identify performance metrics, and uncover optimization opportunities
    • Apply machine learning algorithms and statistical methods to large sets of raw data
    • Continuously improve algorithms and develop best practice for instrumentation
    • Work to acquire Enterprise Architecture theoretical knowledge

Requirements

  • Capable of leadership (influence management) and pragmatism
  • Strong experience prototyping classification and regression models with python is required other languages could be advantage
  • Experience with large-scale log processing or big data (e.g. Elastic MapReduce, Hadoop Streaming, Pig, Hive, Spark, etc.)
  • Experience with cloud solutions
  • Experience working with relational and non-relational databases to retrieve structured, unstructured, and semi-structured data sets
  • Knowledge of business domains (Travel and Hospitality, Finance, Retail, Telecommunication, Farmacy etc.)
  • Track record of working directly with the customer (i.e., regularly facing customer directly) both remotely and on-site
  • Demonstrated experience with full life cycle of software development processes like RUP or "Waterfall", Agile (SCRUM, XP, etc.)
  • Experience with different data science domains, like computer vision, natural language processing, recommender systems, reinforcement learning etc

Nice to have

  • Presale activities with exposure to customers on billable accounts
  • Experience in Data Architecture, Data modeling, and Database design
  • Demonstrated experience in solution cost estimation (including tools, tasks, complexity, labor, and time) at coarse grain and fine grain levels, with supporting material evidence
  • Demonstrated experience in validating the overall solution from the perspective of performance, scalability, security, and capacity
  • Experience in people management (growing teams, mentoring etc.)

We offer

  • Team & working conditions:
    • Friendly team and enjoyable working environment
    • Engineering community of industry’s professionals
    • Flexible schedule and opportunity to work remotely
    • Relocation within our offices
    • Corporate and social events
    • Benefits package (health insurance, multisport, shopping vouchers)
  • Stable income:
    • Regular assessments and salary reviews
    • Participation in the Employee Stock Purchase Plan
    • Referral bonuses
  • Career development:
    • Innovative solutions delivery and engineering excellence
    • Leadership development, career advising, soft skills and well-being programs
    • Certification (GCP, Azure, AWS)
    • Unlimited access to LinkedIn Learning, Get Abstract, O’Reilly, Cloud Guru
    • Language classes on English and Polish for foreigners
  • Please note that only selected candidates will be contacted

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