Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to make decisions in real time to deliver the right reward and message to the right customer at the right time and medium. and create a competitive advantage for the organization The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, real-time and AI-empowered applications along with the corresponding ML/DL algorithms.
As a Principal Data Scientist you will:
Architecture: Design scalable, reliable and high-performance AI applications along with their corresponding ML/DS algorithms.
Innovation: Set the tech direction in the AI tribe in order to deliver state-of-the-art AI models in production.
Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities, disrupt the industry and showcase what’s truly possible.
Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
Autonomy & end-to-end Ownership: From ideation, to translation of business needs to technical requirements, all the way to operationalization and maintenance, demonstrate autonomy on high-complexity and ambiguous projects and ownership of the outcome.

What you’ll bring

Must have:
8+ years of hands-on experience leveraging large-scale data to build ML/DS models with Python
PhD-level expertise in one or more of the following domains: Recommendation Systems,,Time-series, Reinforcement Learning, Graph Learning
A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps and quality evaluation practices in order to operationalize and maintain those applications in production.
Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

Nice to have:
Expertise in constraint optimization, uplift modeling. causal inference & personalization 
Exposure to a variety of domains especially CRM and a diverse family of models. 
Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• #li-ap1

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-gs1

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-gs1

The Sr. Water Quality Client Solutions Manager (WQCSM) is responsible for selling advisory services, construction, and design-build water quality projects. The position is vital to the region’s sales and business development function and actively promotes RES’ solutions across the Southeast, including Tennessee, North Carolina, South Carolina and Georgia.  This position can be based in Raleigh, NC, Charlotte, NC, Athens, GA, Charleston, SC, Nashville, TN, or an alternative / remote location within the Southeast may be considered.

The candidate will possess in-depth knowledge of water quality regulations and ecological restoration practices as they pertain to improving water quality, and will have experience in business development/sales, project development, and delivery, particularly in integrated or alternative delivery methods (e.g., design-build, pay-for-performance). This role collaborates with clients in early sales efforts to understand their water quality issues.  The WQCSM coordinates with internal and external project team members to win business, execute projects, and drive growth in this sector. Key candidates will have experience with proposal writing/development, project discovery, advancing projects through a complex, lengthy sales process, and concept development.

The WQCSM works with the National Water Solutions Team to market watershed-scale integrated delivery projects in water quality and resilience directly to prospects and clients across the United States. The position is vital to the company’s strategic vision for landscape-scale restoration.

Responsibilities

• Achieve a defined annual sales target that enables RES to achieve its strategic growth plan
• Prospect and develop a sales pipeline of 4x to goal and drive growth in the core business and emerging strategic solutions
• Lead multi-disciplinary teams in the RES sales process to market its solutions to a list of target clients, to include working with RES’ marketing and proposal teams.
• Position RES as a strategic advisor that monitors relevant client issues and engages with innovative solutions
• Attend and speak at conferences and trade groups, and identify other external leadership roles to elevate brand awareness for RES and drive lead generation 
• Monitor and share feedback about changes in customer behavior and preferences so RES can actively refine its offering

We would like to talk to you if you have many of the following:

• BA/BS Biology, Environmental Science, Geology, Hydrology, Engineering, Agricultural Science, or similar Science
• Three or more years of Regulatory or Environmental consulting experience as a “seller-doer” responsible for leading the pursuit and delivery of projects
• Demonstrated existing relationships with public agencies and regulators, private developers, consulting and engineering firms, non-profits, and academia within the Southeast
• Demonstrated ability to sell to multiple stakeholders and create a consensus that enables a commercial booking
• Experience in the review and preparation of regulatory documents and deliverables, and responding to agency comments
• Advanced understanding of and experience with relevant environmental regulations and permits/approvals (e.g. CWA 404/402/401, NWP/IP, NPDES, ESA)
• Sound understanding of restoration design principles, approaches, and supporting technical information, such as engineering design plans, functional calculations, and ecological data
• Able to independently access state and federal databases to extract specific information and interpret and communicate the results of data collected
• Ability to travel up to 50% of your time, business depending

What will make you stand out?

• Strong familiarity with GIS capabilities and functions.
• Exposure to estimating, scheduling, and budget development for project delivery
• Experience leading a multidisciplinary team in a defined sales process to win projects
• Advanced Degree or additional qualifications in Project Management, such as Project Management Professional, that indicate an ability to work with multi-disciplinary teams
• Relevant ecological restoration certifications, such as Professional Wetlands Scientist, Wetland Professional in Training, Certified Ecological Restoration Practitioner, or a similar credential
• Experience with grant writing or working on grant-funded projects, including federal, state, or other funding sources, is highly desirable.