Hypothesis testing – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 19 Oct 2024 23:45:03 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngHypothesis testing – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Machine Learning Engineer
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-23/
Sat, 19 Oct 2024 23:45:03 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-23/Machine Learning Engineer
Job Description:
Join a leading pan-European Commercial Bank that prioritizes integrity, ownership, and caring in everything it does. As a Machine Learning Engineer, you will play a vital role in harnessing the power of data to drive innovation and efficiency across the organization. You will be part of a dynamic team focused on developing and maintaining machine learning models that automate critical business processes and applications. Your work will contribute to not just the bank's operations but also to the broader mission of promoting financial well-being in communities. You will have the opportunity to explore and apply cutting-edge Generative AI techniques to unlock new revenue streams and improve cost efficiencies. The position requires a blend of technical expertise and innovative thinking as you analyze and manage diverse datasets to uncover valuable insights.
IT Languages:
Python
PySpark
As a Machine Learning Engineer, you will be responsible for various tasks that involve leveraging data and AI technologies to enhance business performance.:
Explore and utilize Generative AI techniques to derive actionable insights from data;; Manage and analyze multiple datasets to identify patterns and anomalies;; Develop and refine predictive models using machine learning techniques;; Conduct hypothesis testing to validate insights and strategies;; Collaborate with cross-functional teams to implement AI solutions
Spoken Languages:
English;; German
Skillset:
Data Analysis
Artificial Intelligence
Machine Learning
Generative AI
Big Data
Hypothesis Testing
Microsoft Azure
Google Cloud
Soft Skills:
Goal-oriented mindset
Structured and independent work style
Strong commitment and resilience under pressure
Effective communication and teamwork skills
Adaptability to a fast-paced, changing environment
Qualifications:
Master’s Degree in Applied Mathematics, Actuarial Science, Statistics, Data Science, Computer Science, or related fields
Strong analytical skills with a focus on data-driven decision making
Years of Experience:
2
Location:
Germany
Job Benefits:
Flexible working arrangements
Continuous learning and development opportunities
Inclusive and diverse work environment
Health and wellness programs
Competitive salary and performance bonuses
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The organization fosters a culture of learning, collaboration, and inclusivity, valuing diversity of thought and background. Employees are encouraged to bring their authentic selves to work, contributing to a supportive environment that drives innovation.
Opportunities For Advancement:
Career progression within the Data & Analytics division, Access to mentorship programs, Opportunities to lead projects and initiatives
Join a leading pan-European Commercial Bank that prioritizes integrity, ownership, and caring in everything it does. As a Machine Learning Engineer, you will play a vital role in harnessing the power of data to drive innovation and efficiency across the organization. You will be part of a dynamic team focused on developing and maintaining machine learning models that automate critical business processes and applications. Your work will contribute to not just the bank's operations but also to the broader mission of promoting financial well-being in communities. You will have the opportunity to explore and apply cutting-edge Generative AI techniques to unlock new revenue streams and improve cost efficiencies. The position requires a blend of technical expertise and innovative thinking as you analyze and manage diverse datasets to uncover valuable insights.
IT Languages:
Python
PySpark
As a Machine Learning Engineer, you will be responsible for various tasks that involve leveraging data and AI technologies to enhance business performance.:
Explore and utilize Generative AI techniques to derive actionable insights from data;; Manage and analyze multiple datasets to identify patterns and anomalies;; Develop and refine predictive models using machine learning techniques;; Conduct hypothesis testing to validate insights and strategies;; Collaborate with cross-functional teams to implement AI solutions
Spoken Languages:
English;; German
Skillset:
Data Analysis
Artificial Intelligence
Machine Learning
Generative AI
Big Data
Hypothesis Testing
Microsoft Azure
Google Cloud
Soft Skills:
Goal-oriented mindset
Structured and independent work style
Strong commitment and resilience under pressure
Effective communication and teamwork skills
Adaptability to a fast-paced, changing environment
Qualifications:
Master’s Degree in Applied Mathematics, Actuarial Science, Statistics, Data Science, Computer Science, or related fields
Strong analytical skills with a focus on data-driven decision making
Years of Experience:
2
Location:
Germany
Job Benefits:
Flexible working arrangements
Continuous learning and development opportunities
Inclusive and diverse work environment
Health and wellness programs
Competitive salary and performance bonuses
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The organization fosters a culture of learning, collaboration, and inclusivity, valuing diversity of thought and background. Employees are encouraged to bring their authentic selves to work, contributing to a supportive environment that drives innovation.
Opportunities For Advancement:
Career progression within the Data & Analytics division, Access to mentorship programs, Opportunities to lead projects and initiatives
Visa Sponsorship:
Available
]]>Customer Data Analyst
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/customer-data-analyst-2/
Tue, 24 Sep 2024 05:40:03 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/customer-data-analyst-2/Customer Data Analyst
Job Description:
Join a groundbreaking SaaS AI start-up that is experiencing rapid growth. We are seeking a passionate and inquisitive Customer Data Analyst to become a vital part of our Customer Success team. As a leader in the AI space, our platform empowers retail and e-commerce businesses to anticipate and enhance their operations. Drawing on cutting-edge AI research from Umeå University, our analytics, segmentation, and recommendation solutions revolutionize our clients' marketing technologies, offering significant cost savings compared to traditional approaches. Trusted by over 40 esteemed clients in Sweden and the Nordic region, including Rusta, Nordic Nest, Bokus, and Caia Cosmetics, we collaborate closely with leading AI researchers to deliver unparalleled value. In this role, you will ensure our platform maximizes client value, working on technical onboarding, implementation of new features, ongoing user support, and driving the analytics roadmap tailored to each client’s needs.
IT Languages:
SQL
Python
R
As a Customer Data Analyst, your role encompasses a range of responsibilities aimed at delivering outstanding customer success through our platform.:
Onboard new clients by configuring data imports and exports and setting up critical analytics features;; Collaborate with the Account Manager to create a value realization roadmap for clients, prioritizing the implementation of use cases;; Advise clients on innovative use cases and optimize new segmentation strategies and recommendations;; Address complex technical inquiries and provide effective solutions;; Identify and implement continuous improvement initiatives in service management;; Develop new analytical solutions based on client feedback to enhance platform capabilities
Spoken Languages:
English;; Swedish
Skillset:
Statistical analysis
Hypothesis testing
Predictive modeling
Machine learning algorithms
Data visualization tools
Soft Skills:
Strong communication skills
Detail-oriented
Curiosity about technology
Problem-solving skills
Qualifications:
Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
Strong background in digital analytics with a focus on CRM and loyalty programs
Experience applying data science techniques to enhance customer engagement
Years of Experience:
5
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Competitive salary
Flexible working hours
Professional development opportunities
Supportive team environment
Health and wellness programs
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our company fosters a culture of innovation and collaboration, encouraging team members to think creatively and explore new technologies. We value independence, a service-oriented mindset, and a commitment to delivering exceptional results for our clients. Continuous learning and professional growth are integral to our ethos.
Opportunities For Advancement:
Career growth in data analytics, Leadership opportunities, Exposure to cutting-edge technology and methodologies
As an Associate, you will collaborate with teams across our global offices to tackle complex challenges faced by our clients in various sectors including private, public, and social. You will play a crucial role in diagnosing issues, formulating strategic hypotheses, and proposing actionable solutions that drive measurable improvements in performance. Your work will involve extensive data analysis and synthesis of information to produce clear recommendations. You will not only present your findings to client leadership but also work alongside client teams to implement these strategies effectively. This role promises a dynamic working environment with opportunities for travel to client locations, providing you with firsthand experience of diverse organizational cultures and challenges. Joining our firm means becoming part of a distinctive, inclusive culture that prioritizes your development as a leader capable of effecting positive change in the world. You will receive comprehensive training and mentorship to sharpen your problem-solving skills and enhance your ability to communicate complex ideas clearly and persuasively. Embrace a journey where your growth is supported by experienced colleagues and a professional development manager who will guide you in selecting projects aligned with your career aspirations.
IT Languages:
English
Python
SQL
In this role, you will work in small teams to solve specific client problems. Your tasks will include gathering data, analyzing it, formulating hypotheses, and testing these ideas to develop strategic recommendations.:
Collaborate with team members to identify client challenges and potential solutions;; Conduct data analysis and synthesize findings into actionable insights;; Prepare and present recommendations to client management;; Implement strategies in partnership with client teams;; Develop strong relationships with clients to understand their needs and enhance service delivery
Spoken Languages:
English;; Swedish
Skillset:
Data analysis
Quantitative thinking
Presentation skills
Hypothesis testing
Project management
Soft Skills:
Teamwork
Communication
Adaptability
Problem-solving
Interpersonal skills
Qualifications:
Bachelor’s degree
Advanced graduate degree (e.g., MBA, PhD) or equivalent work experience preferred
Years of Experience:
5
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Comprehensive training and development programs
Mentorship from experienced colleagues
Opportunities for international travel
Inclusive and diverse work environment
Career growth and advancement opportunities
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The culture emphasizes inclusivity, collaboration, and continuous learning. Employees are encouraged to express their individual strengths and values while working in teams to foster a supportive and innovative environment.
Opportunities For Advancement:
Leadership development programs, Mentorship opportunities, Career progression paths, Skill enhancement workshops