WE SPECIALISE IN FINDING FANTASTIC OPPORTUNITIES
FOR DIGITAL AND DATA SPECIALISTS WITH THE MOST INNOVATIVE BUSINESS ACROSS EUROPE AND THE USA.
about 2 months ago
The Membership Analytics Team is BJ's internal advanced analytics consultancy. The Team is responsible for a wide range of analysis in support of BJ's efforts to strengthen member loyalty, improve retention, acquire high quality members and increase member lifetime value. The Lead Data Scientist will be responsible for leveraging BJ's wealth of data though the use of advanced statistical methods.
- Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs
- Apply Data Science methods along with project management skills to assist in developing new approaches to member acquisition, engagement and promotion
- Work cross functionally with stakeholders to ensure data-driven answers are provided and recommended
- Build reports, dashboards, and other analytical tools to help communicate the state of business
- Apply data mining/machine learning/statistics in areas outside of membership/marketing
- Works with and streamlines established data warehouses, production data, and available tools to build strategic datasets in support of key initiatives
- Establishes and systematically performs processes to assess and validate data accuracy
- Experience with data ETL in at least one of the following scripting language: Python/R/SAS/SQL
- Experience developing and productionizing machine learning models (supervised/unsupervised learning, linear/logistic regression, decision trees, neural networks)
- Experience with AWS preferred
- Minimum 5 years of data analysis/processing experience
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or a related field
- Outstanding analytical and problem-solving skills
- Strong Data Science and Analytics background with the ability to apply analytical skills to business problems
Environmental Job Conditions
- Most tasks are performed while seated indoors at a personal computer.
- Limited travel may be required periodically throughout the year.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Data Engineer - Python, AWS, Docker, CI/CD, Zurich A leading, international customer of mine in the education industry is looking to develop it's team in Zurich by hiring a talented Data Engineer. In this role, you would be responsible for developing the new data platform on AWS as well as combining general and in-depth technical skills to build the future of data processing in the business. You would be responsible for running integrations with various systems as well as managing deployment pipelines. Working alongside Data Scientists you would also be responsible for a machine learning application. The business is looking for someone who has strong experience working as a Data Engineer with proficiency in Python programming. Strong experience with AWS ecosystems and services is essential. Good skills and knowledge in Docker containers and CI/CD would also be an advantage. The business would be open to someone starting the role remotely but ideally work in Zurich when suitable at some stage in the future. If you feel this role would be interesting and that your experience is a good match, please apply by sending your CV and we'll arrange a call soon. Darwin Recruitment AG is a Zurich based, SECO licensed, privately owned subsidiary of Darwin Professional Staffing Group Ltd (a Global IT Recruitment Consultancy). Darwin Recruitment AG manages client relationships whilst also utilising Darwin Professional Staffing Group databases and networks to source Candidates and fulfil client requests. We do not ask for a placement fee from Candidates/Employees.
Lewis Adams-Dunstan - Director of Business Development and Host of 'Preparing the Un-prepared' - A Data-Driven Podcast is on the lookout for an experienced Hiring Manager who's happily employed in the USA and is looking to expand their team now or in the near future. The requirements: You must understand the technical and business reasons for your hiring needs before wanting me to engage in a search. The budget for hiring must be signed off. I'm not looking for window shoppers and nor are my candidates! You need to have realistic expectations of skill level and experience vs budget allocated for each of your roles. You must also understand and appreciate the value in both and Internal External Recruitment Partner. It's important that you have a well-structured process in place that will ensure success and you must provide constructive feedback to both your internal and external partners in a timely manner (AKA treat people's time in exactly the same way that you expect people to treat yours) Ideally, you'll be hiring within Data but if not, you must be open to making introductions to other people in the business who might need support with their technical growth. You value the candidate experience, so with that in mind, you'll be actively involved in the interview process preferably from the initial round (what I mean by this is, you're not the King or Queen and you don't expect the candidate that YOU'RE supposed to be hiring to meet you at the final stage and bow... You may laugh but this happens a lot!) You understand the market and how competitive it is so you don't waste peoples time with lowball offers. You take time to understand their worth and you offer them that when the time comes! Nice to haves: It would be nice if you were open to being flexible when an applicant ticks 99% of the boxes. It's prefered that you don't base your decision on the 1% and that you see potential in people that might be highly motivated when given the right chance! An interest in building a long term partnership and not just seeing recruitment as a transactional necessity. A mutual interest in that you care as much about my growth in the industry as a Recruiter as I do about you as a Leader. And so, when we're not busy filling seat's it would be nice if you could recommend me to some of your fellow Hiring Managers in the industry ;) Oh and, it would be great id you could pay on time. So if we agreed a 30 payment term, please don't make me ask you on day 31 for payment. It's not a good use of my time nor is it good/fair business. Now, I know the pool of potential GREAT Hiring Manager is small but if you or someone you know is awesome and they need support with their growth initiatives, get in touch: firstname.lastname@example.org / +1 617 480 9327 Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Senior Machine Learning Ops Engineer - Remote anywhere in the USA The company: Darwin Recruitment has partnered with a well-funded, high-growth product-orientated start-up who practice real machine learning at production scale who grew by almost 400% in 2020. This company is building the world's first fully connected knowledge graph of commercial entities to understand global supply chain risk for our customers. To do that they've created a SaaS platform that helps their well-known public and private customers manage the risk associated with their supply chain by automating risk assessments for their vendors. The environment: The company has so many extraordinary employees who thrive as part of a fast-paced team and takes pride in their ability to succeed while delivering value to their customers. You would really fit in here if you're someone who likes to be challenged by innovation and wants grow professionally by solving one of the most interesting challenges impacting businesses across the globe. The role - Senior Machine Learning Ops Engineer: They're looking for a world-class subject matter expert in Machine Learning Ops to serve as key technical resource for machine their learning engineers, helping them transition their ML models into production environments. In this role you will have the opportunity to experiment with large data sets, cutting edge language models, and to partner with functional experts across the company to bring that expertise to bear on some of the hardest and most exciting problems in this space. You will be developing systems, tools, & processes to govern ML models for compliance, bias, versioning, traceability and auditability. This job is an individual contributor position, but you will have significant input into research and product development decisions and serve as a key technical leader within the company. Meaning you will be responsible for recommending and driving architecture/infrastructure to create actionable, meaningful, and scalable solutions for business problems. You will contribute to industry-leading-edge projects using your data science, machine learning, and artificial intelligence skills to transfer ideas into solutions for some of the most challenging technical problems that will delight customers. What you need to be considered: - Degree in Computer Sciences (or related technical degree with industry experience). - 6+ years of hands-on industry experience. - 2+ years of experience deploying robust machine learning APIs in production environments (ideally cloud-based environments such as GCP or AWS) - from model training and versioning to observability and delivery to consumers. - Familiarity with and ability to train people on deploying to a containerized environment - Kubernetes. - Experience with machine learning lifecycle platforms (MlFlow / Kubeflow) - Strong Python programming skills. - Experience with databases and data structuring/warehousing. - Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more. - Experience deploying machine learning models using cloud-based solutions such as SageMaker or Azure ML. - Production experience with serverless platforms such as AWS Lambda or Google Cloud Functions ** US Citizenship is required ** Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.
Senior Machine Learning Engineer (NLP) - Remote anywhere in the USA The company: Darwin Recruitment has partnered with a well-funded, high-growth product-orientated start-up who practice real machine learning at production scale who grew by almost 400% in 2020. This company is building the world's first fully connected knowledge graph of commercial entities to understand global supply chain risk for our customers.To do that they've created a SaaS platform that helps their well-known public and private customers manage the risk associated with their supply chain by automating risk assessments for their vendors. The environment: The company has so many extraordinary employees who thrive as part of a fast-paced team and takes pride in their ability to succeed while delivering value to their customers. You would really fit in here if you're someone who likes to be challenged by innovation and wants grow professionally by solving one of the most interesting challenges impacting businesses across the globe. The role - Senior Machine Learning Engineer (NLP): They're looking for a world-class Sr. Machine Learning Engineer, that's an expert in extracting structured information from unstructured text. You'll be a great fit if: * You're the kind of the person who wants to solve problems for which you can't just Google answers. * You want to deal with real big data in actual products that real people use. * You want exposure to cutting edge tech, including machine learning at scale, graph databases, and predictive modeling. And you want it all in a high-growth start-up. In this role you will have the opportunity to experiment with large data sets, cutting edge language models, and be supported by a crack team of software engineers and data analysts ready to create the best training data possible and help operationalize your models on AWS infrastructure. This job is an individual contributor position, but you will have significant input into research and product development decisions and serve as a key technical leader within the company. What you need to be considered: - MS or PhD in Machine Learning, Data Science, Computer Science, Statistics, or Applied Mathematics. - 5+ years of hands-on experience in machine learning, predictive modeling, and analysis. - Deep technical skills in machine learning, deep learning and natural language processing with the ability to explain and present deep technical ideas. - A passion for creating innovative techniques and making these methods robust and scalable. - Track record of productionizing ML models/ putting ML models into a large high-availability production environment.. - Fluency in Python and ML/NLP libraries is a must. - Good experience creating entity, relationship, and event extraction models - Experience with transformer and recurrent language models BERT, GPT2, LSTM, Word2Vec - Experience with databases and data structuring/warehousing. - Experience with time-series forecasting. ** US Citizenship is required Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.