Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. The salary starts at €4,800 gross per month, along with restricted stock units and other benefits. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. Your Responsibilities: - Design, develop, and enhance ML/AI models which mainly power Search and Recommendation. - Process historical data, search queries, product cathalog, and images to extract hidden relations and features. - Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC. - Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data. - Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences. Qualifications: - BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python) - Ideally at least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment. - Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials. - Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking. - Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery. - Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies. - Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers). - Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure). - Effective communication skill in English, both verbally and in written form. #LI-KP1 More things you'll like about Bloomreach: Culture: - A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. - We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. - We believe in flexible working hours to accommodate your working style. - We work virtual-first with several Bloomreach Hubs available across three continents. - We organize company events to experience the global spirit of the company and get excited about what's ahead. - We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. - The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: - We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. - Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.* - Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. - Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: - The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* - Subscription to Calm - sleep and meditation app.* - We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. - We facilitate sports, yoga, and meditation opportunities for each other. - Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: - Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.* - Everyone gets to participate in the company's success through the company performance bonus.* - We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. - We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. Your Responsibilities: - Design, develop, and enhance ML/AI models which mainly power Search and Recommendation. - Process historical data, search queries, product cathalog, and images to extract hidden relations and features. - Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC. - Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data. - Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences. Qualifications: - BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python) - Ideally at least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment. - Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials. - Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking. - Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery. - Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies. - Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers). - Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure). - Effective communication skill in English, both verbally and in written form. #LI-KP1 More things you'll like about Bloomreach: Culture: - A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. - We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. - We believe in flexible working hours to accommodate your working style. - We work virtual-first with several Bloomreach Hubs available across three continents. - We organize company events to experience the global spirit of the company and get excited about what's ahead. - We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. - The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: - We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. - Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.* - Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. - Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: - The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* - Subscription to Calm - sleep and meditation app.* - We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. - We facilitate sports, yoga, and meditation opportunities for each other. - Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: - Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.* - Everyone gets to participate in the company's success through the company performance bonus.* - We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. - We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

Overview Position Summary: This individual contributor position is responsible for supporting analytical projects on identifying business opportunities, answering business questions and developing business solutions. The team member will need to be able to understand business needs and create research and implementation plans using data, statistical models and machine learning techniques. The team member needs to have strong data and programming skills and be able to work closely with cross-functional teams of software engineers, data analysts and product leaders on business initiatives. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $77,283 to $146,494 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: - The team member will work with various business departments to include UW, Claims, Marketing, and Advertising with understanding of business processes and business needs in these areas. - Identify the right business sources related to the issues and opportunities, conduct project work as assigned and performs ad-hoc analyses using statistical and machine learning algorithms to help improve business processes and decision-making. - Works independently with guidance and direction from advanced level data scientists and management. - Participates in discussions with colleagues regarding analysis needs. Reviews and discusses analyses with colleagues and managers as necessary. - Provide data support on projects and work closely with business on implementation through either analytical process or IT process. - Create monitoring procedures and reports for projects implemented, and identify potential opportunities to improve accuracy and efficiency. - Understand data sources from different applications and data infrastructure. Retrieves large amount of structured or unstructured data from various sources and apply advanced data manipulation techniques to prepare data for analysis. - Reviews data for accuracy and optimizes methods of data retrieval when necessary. Create, maintain and improve dynamic reports, graphs and charts through dashboard and other and programming and MS Excel. - Create procedures to streamline analysis procedures. - Establish automated procedures to help reduce cost and improve efficiency. - Answer questions and conduct ad hoc analysis from business on related reports. - Communicates proactively, clear and consistently with SMEs, EBI, IT, and Management in the various functional areas in order to understand each job function. Through this communication, the employee will be expected to increase the breadth of his/her understanding of the processes associated with these functions, and of the various KPI’s that drive business results in each area and overall. - Creates presentations breaking down problems identified, potential solutions. - Actively participates in meetings with to present findings and recommendations. Team member should have a strong background in creating and explaining meaningful graphs and be skilled at assembling and presenting PowerPoint presentations. - Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week - Other functions may be assigned Qualifications Education: - Worker characteristics are normally acquired through the successful completion of a Bachelor’s degree in math, statistics, computer science or other related areas. Master’s Degree (or ACAS/FCAS) preferred. Experience: - At least 2 years of experience in data mining and data/statistical analysis. - At least 2 years experience with SQL and statistical software packages (Python, R, SAS) required. - At least 1 year experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques - At least 1 year of experience in insurance or financial service related fields Knowledge and Skills: - Demonstrated solid skills in data mining, machine learning, programming and optimization. - Knowledge with cloud-based advanced data and analytics environment. - Passion for problem-solving, comfort with ambiguity. - Ability to think conceptually, analytically and creatively. - Experience using R, Python and other programing languages. - Strong data skills and the ability to work with large structured and unstructured data sources. - Experience in of predictive modeling, general model building, and validation procedures. - Excellent problem-solving skills required. - Excellent analytical and critical thinking required. - Excellent written and verbal communication skills required. - Demonstrate Company’s Core Values. About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers Perks and Benefits We offer many great benefits, including: - Competitive compensation - Flexibility to work from anywhere in the United States for most positions - Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) - Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) - Medical, dental, vision, life, and pet insurance - 401 (k) retirement savings plan with company match - Engaging work environment - Promotional opportunities - Education assistance - Professional and personal development opportunities - Company recognition program - Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $101,167.00 - USD $204,439.00 /Yr.

The Principal Biostatistician II functions independently as a statistical consultant/project manager by applying statistical, programming, and related methods such as machine learning and scientific expertise to the design, implementation, analysis, interpretation, and reporting of research, clinical and administrative studies. The Principal Biostatistician II must possess advanced level expertise in a wide variety of statistical techniques and other skills listed for Biostatistician, to meet the demands of study teams and investigators. The Principal Biostatistician II must possess advanced knowledge of biology and medicine and be able to identify and apply analytical approaches as they relate to these fields. The Principal Biostatistician II will direct development of case report forms (CRFs) and/or databases as well as monitor the progress for most biostatistical aspects of research and clinical studies. The Principal Biostatistician II manages and monitors all aspects of time and project management relating to staff effort, regulatory milestones, and/or goal timelines for at least one team of others either internal or external to the Department or Mayo Clinic. The Principal Biostatistician II will delegate tasks to statistical programmers, Biostatisticians, and other study personnel for most studies. The Principal Biostatistician II will summarize and communicate project findings to study team members, investigators, journal and grant reviewers, committees, and other individuals and entities as needed. The Principal Biostatistician II acts as an expert in writing statistical analysis plans and analysis data set specifications. The Principal Biostatistician II will contribute significantly to grant and report writing, scientific publications and/or regulatory reports, and may publish as a first or senior author in peer-reviewed journals. The Principal Biostatistician II functions as the primary statistician on most studies. The Principal Biostatistician II may serve as a co-investigator, key-personnel, or lead statistician independently on clinical trials, external collaborations or grants as approved by the Department. The Principal Biostatistician II has leadership role(s) in committees, task forces, or working groups within and/or outside of the Department or Mayo Clinic and may present in professional meetings outside of the Department or Mayo Clinic. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.