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We are looking for a Product Analyst.
What youll do:
Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported.
Use analytical tools, data mining, and business logic to consult the product team on various day-to-day tasks.
Analyze and optimize products and activities, take part in design and implementation, and be a key part of strategic product decisions.
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis.
Conduct customer analysis behavior, trends, usage, and more.
Provide supporting data for prioritizing new features and initiatives.
Work closely with the Product, R&D, Operations and Business teams.

We are hiring a senior data scientist to join Nucleai’s data science team. A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference. At Nucleai, we believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. We work together with subject-matter experts, from medical doctors to software engineers, to leverage computer vision, focus on the most promising biological hypotheses and to productionize our capabilities.
Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.

As the Game Economy Manager, you will be responsible for designing and managing the in-game economy, as well as managing and tracking our user's experiences through the use of behavioral insights, mathematical models, simulations, data analysis,

To put it simply: You'll be responsible for making the game more fun and increasing community engagement.

The ideal person for this position is curious by nature, loves problem-solving, is a team player with great communication skills, and is a self-starter.

RESPONSIBILITIES
Designing economic game features in order to maximize and heighten user experience and optimize KPIs directly linked to the game
Model and balance complex systems in the game to maintain a healthy and growing in-game economy
Work with the product and monetization teams to build and implement content in the game as well as live-ops activities
Perform data analysis and AB testing in order to always improve the game performance
Pricing of the game store, offers, and other products
Tracking and managing in-game economy parameters on a daily basis

We are looking for an experienced data engineer with a passion for engineering practices to join our team and help to redefine software excellence in the industry.
You will have an opportunity to own the whole data flow, from fetching the data and until visualizing it for users.
Your Responsibilities:
Be responsible for designing the full data flow, from extraction to visualizing in external tools, implementing, and maintaining it
You will translate User and Product manager requirements into a technical design and implement it to be part of large data engineering solutions
Support robust, scalable solutions to enhance business analysis capabilities, identify gaps and design processes, and fill them
Work with cutting-edge big-data tools and techniques
Collaborate with R&D, architects, data scientists, analysts, Projects Managers and DevOps in order to deliver the right solution

Job ID : R_101348.

We are looking for a Product Analyst which lives and breathes data! Someone who can see beyond numbers and is curious to investigate and get insights, ready to solve problems and able to piece together information from multiple sources to create a complete picture.

As a Product Analyst you will make a direct impact on the company activity by delivering valuable insights into KPIs, creating tools and analyzing company's data. You will be operating within the BI team, communicating with cross-functional teams - understand needs and capture requirements, monitor performance, funnels, pain points, and proactively come up with actionable recommendations.

You Will:
Design and create BI dashboards, reports and ad-hoc analysis to provide value and business performance monitoring.
Analyze and interpret data, effectively communicating your insights and plans to cross-functional team members and management.
Provide analytical support for management's decision making.
Develop and maintain BI platforms (Tableau).
Interact and communicate with stakeholders to initiate projects; gathering all pieces of information and alignment.

Are you someone who loves to lead and create new things?
We're searching for a Generative AI Group Leader to join us.
If you're great at both leading a team and doing technical research and problem solving, this is the perfect role for you.
You'll be at the forefront of our data science team, helping us develop cool new generative AI algorithms. Plus, you'll be leading the way in building a collaborative team culture to reach new innovative goals.
Key Responsibilities:
* Set a vision for generative AI research and development that aligns with company objectives
* Lead cutting-edge generative AI research initiatives
* Grow, mentor and inspire the data science team, while attracting and nurturing talents
* Manage and collaborate on AI projects from conception to deployment, emphasizing teamwork in research and development
* Oversee the research aspects of deep learning generative AI model development, ensuring excellence in algorithmic problem solving

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities:
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.
As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Research, Turing and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.
Responsibilities:
Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
Collaborate closely with our Research, Turing, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.

We are looking for a skilled Data Analyst with expertise in utilizing BigQuery to join our dynamic team.
The ideal candidate will possess a strong foundation in data analysis, a deep understanding of SQL and BigQuery, and an advantage would be a background in the travel accommodation sector.
You will be responsible for extracting, interpreting, and presenting actionable insights from vast datasets to drive informed business decisions.
RESPONSIBILITIES:
Data Extraction and Manipulation: Retrieve, clean, and preprocess large datasets using BigQuery and other relevant tools to ensure data accuracy and reliability.
Analysis and Visualization: Perform comprehensive analysis on complex datasets to identify trends, patterns, and opportunities. Develop visually appealing and insightful reports or dashboards to present findings to stakeholders.
Insights and Recommendations: Translate data-driven insights into actionable recommendations, contributing to strategic decision-making processes to enhance business performance.
Collaboration: Work closely with cross-functional teams including marketing, operations, and finance to understand data needs, provide analytical support, and offer data-driven solutions.
Continuous Improvement: Proactively identify opportunities to improve data collection processes, reporting techniques, and analytical frameworks to optimize efficiency and accuracy.

We are looking for highly motivated candidates with a passion for analytics and product development. If you are organized, understand the mathematical tools underlying analytics, and are a fast learner, we would love to hear from you. Join us in driving the future of search traffic monetization products.
Key Responsibilities:
Collaborate closely with the product management team to define product strategy and roadmap.
Conduct detailed product analysis, including market trends, competitor analysis, and customer behavior.
Develop and maintain complex data models to inform product decisions.
Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Present analytical findings to the product team and executive leadership in a clear and actionable way.
Participate in the entire product lifecycle, from inception to launch and growth.

We are looking for a Game Economy Manager to join our team. In this role, you will be responsible for designing and controlling the game economy systems for one of our top-grossing mobile games.

Responsibilities:
Work closely with product & monetization teams to design and implement new game content, features, and live ops.
Model and balance complex systems in the game, to maintain a healthy and growing game economy.
Monitor, tune, and price the game features and in-app purchases for driving player engagement and optimizing different KPIs.
Balance customer experience and revenue opportunity for in-game currency and virtual goods.
Perform data analysis, A/B testing, and advanced modelling for game systems and player experiences.