Data Science Manager

Java Engineering Lead, Senior Manager

Sales Manager

Senior Manager - Java

Manager IT Digital Solutions

Marketing Research Analyst

Machine Learning Engineering Manager

Senior Data Scientist

Engineering Manager

Downstream Data Scientist

Responsibilities: <ul><li>Work with Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs</li><li>Collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering).</li><li>Support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products</li><li>Partner with IT to secure data models are built leveraging best practices and ensuring KPI automation.</li><li>Lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach.</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments).</li><li>Work as a translator between business and IT departments for KPIs definition and automation.</li><li>Coordinate user-focused documentation for the data solutions.</li><li>Collaborate with architects from the IT department to support data governance and quality efforts.</li><li>Support requests prioritization to align workload to business strategy.</li><li>Coordinate and develop teams of Data Scientists.</li><li>Communicate insights, data products and reports status and results clearly to the partners.</li><li>Negotiate requests, workloads and team assignment with different partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science.</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus.</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning.</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python).</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI).</li><li>Experience with cloud platforms (desireable experience with AWS).</li><li>Project Management &amp; communication skills.</li><li>Experience on Agile methodologies (SCRUM desirable).</li><li>Problem solving/critical thinking mindset.</li><li>Highly organized.</li><li>Data storytelling and communication skills.</li><li>Proficiency in English.</li></ul>

Responsibilities: <ul><li>Lead team(s) of passionate engineers supporting multiple systems who take pride in customer satisfaction and ownership.</li><li>Set up and maintain processes that empower to move the team quickly.</li><li>Be hands-on in technical architecture and reviews, are a strong believer in servant leadership and don’t shy away from rolling up the sleeves.</li><li>Independently own and drive multiple critical work streams, this includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results.</li><li>Establish and drive adoption of design and coding best practices within your team</li><li>Liaise with senior stakeholders across the Risk, Finance and Front Office business organizations, and external Market Regulators to assemble execute projects across Capital spectrum.&nbsp;</li><li>Mentor and guide professional development of analysts &amp; engineers on your team, and continuously improve software engineering practices.</li><li>Strong written and oral presentation skills and presence.</li><li>Collaborate with and across team to design, build and deliver high quality software meeting and exceeding client needs.</li></ul> Requirements: <ul><li>You are ahands-on engineering manager with 7+ years of industry experience and 5+ years of engineering management.</li><li>4+ years of managing individual contributors across all levels.</li><li>BS or MS in Computer Science or related technical field or related experience.</li><li>Graduate in STEM (Science, Technology, Engineering and Mathematics) or Finance disciplines.</li><li>Broad experience in relational and document databases, data structures, caching and reporting.</li><li>Develop enterprise-grade applications using Java 8/JEE (and higher), No SQL, Spring, among other tools.</li><li>A track record of managing and mentoring junior and senior engineers, preferably located across multiple time zones</li><li>Experience attracting and hiring top talents, including engineering leaders and software engineers.</li><li>Proficient at working with large and complex code bases.</li><li>Ability to be metrics / data driven and have a bias for action and result delivery.</li></ul> Preferred Qualifications <ul><li>Experience in financial industry specifically in Credit Risk &amp; Market Risk Capital domains.</li><li>Technologies and tools: Java, Web / Restful service development, Angular, JSON, Python, SQL, Build tools.</li><li>Develop enterprise-grade applications using Java 8/JEE (and higher), No SQL, Spring, among other tools.</li><li>Experience in event-driven design of Microservices and 12-factor app development standards.</li><li>Experience building modern enterprise applications and deploying to public or private clouds including AWS.</li><li>Experience in Distributed cache systems like Apache Ignite; App developer w/ experience in writing distributable jobs in Spark.</li><li>Experience in Spring Framework and Cloud Computing for both batch and real-time high volume data processing.</li><li>Experience in understanding complex SQLs and exposure to Database Design Concepts including Data Modeling, Logical/Conceptual Design.</li></ul>

Subsidiary of a Swiss group with an international dimension, founded in 1910, SAUTER Régulation SAS is the market leader in France and Luxembourg, in the energy efficiency sector. SAUTER Régulation offers a complete range of products, solutions and services for the optimization of comfort and energy. Our turnover is 25 million euros, we employ more than 120 people through our 6 Regional Divisions and we cover the whole of France and Luxembourg. Reporting to the Regional Manager and liaising with the General Manager, the Sales Manager will be responsible for rolling out new product ranges and upgrading existing installations as well as leading a small team of Sales Engineers within the region. <h1>As a Sales Manager, you will…</h1>&nbsp;Commercial:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Coordinate and optimize the Regional Office/Market activities;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop and monitor client portfolio of the profit center;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop and propose a development strategy in line with national and group strategy;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze the socio-economic and competitive environment to best target commercial actions;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support Sales Engineers in the field;Management:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor achievement of team and individual objectives;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manage the sales team;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manage the technical team with the help of the Technical Service Manager;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead office meetings;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Inform, coordinate, control, recruit teams; <h1>What you already have…</h1>&nbsp;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;10 years’ experience within Sales-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3 years’ experience in Sales Leadership-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to identify and solve problems;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to unite and manage teams;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Autonomy;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Rigor;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creativity;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Diplomacy;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Management basics;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sales and technical negotiation;-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;HVAC technical environment knowledge;

Responsibilities: <ul><li>Lead team(s) of passionate engineers supporting multiple systems who take pride in customer satisfaction and ownership&nbsp;</li><li>Set up and maintain processes that empower to move the team quickly&nbsp;</li><li>Be hands-on in technical architecture and reviews, are a strong believer in servant leadership and don’t shy away from rolling up the sleeves.&nbsp;</li><li>Independently own and drive multiple critical work streams, this includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results.&nbsp;</li><li>Establish and drive adoption of design and coding best practices within your team&nbsp;</li><li>Liaise with senior stakeholders across the Risk, Finance and Front Office business organizations, and external Market Regulators to assemble execute projects across Capital spectrum.&nbsp;</li><li>Mentor and guide professional development of analysts &amp; engineers on your team, and continuously improve software engineering practices&nbsp;</li><li>Strong written and oral presentation skills and presence&nbsp;</li><li>Collaborate with and across team to design, build and deliver high quality software meeting and exceeding client needs&nbsp;</li></ul> Requirements: <ul><li>You are a hands-on engineering manager with 7+ years of industry experience and 5+ years of engineering management.&nbsp;</li><li>4+ years of managing individual contributors across all levels&nbsp;</li><li>BS or MS in Computer Science or related technical field or related experience&nbsp;</li><li>Graduate in STEM (Science, Technology, Engineering and Mathematics) or Finance disciplines.&nbsp;</li><li>Broad experience in relational and document databases, data structures, caching and reporting&nbsp;</li><li>Develop enterprise-grade applications using Java 8/JEE (and higher), No SQL, Spring, among other tools&nbsp;</li><li>A track record of managing and mentoring junior and senior engineers, preferably located across multiple time zones&nbsp;</li><li>Experience attracting and hiring top talents, including engineering leaders and software engineers&nbsp;</li><li>Proficient at working with large and complex code bases&nbsp;</li><li>Ability to be metrics / data driven and have a bias for action and result delivery&nbsp;</li></ul> Preferred Qualifications <ul><li>Experience in financial industry specifically in Credit Risk &amp; Market Risk Capital domains.&nbsp;</li><li>Technologies and tools: Java, Web / Restful service development, Angular, JSON, Python, SQL, Build tools&nbsp;</li><li>Develop enterprise-grade applications using Java 8/JEE (and higher), No SQL, Spring, among other tools&nbsp;</li><li>Experience in event-driven design of Microservices and 12-factor app development standards&nbsp;</li><li>Experience building modern enterprise applications and deploying to public or private clouds including AWS&nbsp;</li><li>Experience in Distributed cache systems like Apache Ignite; App developer w/ experience in writing distributable jobs in Spark&nbsp;</li><li>Experience in Spring Framework and Cloud Computing for both batch and real-time high volume data processing&nbsp;</li><li>Experience in understanding complex SQLs and exposure to Database Design Concepts including Data Modeling, Logical/Conceptual Design&nbsp;</li></ul> Location: <ul><li>Toronto, ON</li></ul>

Responsibilities: <ul><li>Technical Leadership: Lead the technical direction and decisions for the e-commerce website, applying your expertise in latest web technologies e.g., ReactJS, AEM, Google Tag Manager, SEO and AWS etc.</li><li>User Experience (UX): Work closely with design teams to ensure the e-commerce website delivers an intuitive and engaging user experience while meeting compliance requirements.</li><li>Security and Compliance: Implement and maintain robust security protocols, protecting customer data and ensuring compliance with industry regulations.</li><li>Performance Optimization: Monitor and optimize the websites performance, addressing technical bottlenecks to maintain speed and reliability.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Technology, or a related field. Masters degree is a plus.</li><li>5-8 years of experience in IT leadership roles, with a strong focus on front end development.</li><li>Extensive technical knowledge of e-commerce platforms, architecture</li><li>Proficiency in ReactJS, AEM, SRE practices, SEO, Google Tag Manager, AWS, and other relevant web technologies.</li><li>Experience in leading external partners, vendors, and third-party solution providers.</li><li>Excellent communication skills to effectively collaborate with technical and non-technical partners.</li><li>Leadership experience, with a track record of building and leading successful technical teams.</li></ul>

Responsibilities The candidate will be based at our client headquarters in Dhahran, Saudi Arabia and will be required to perform the following: <ul><li>Apply knowledge of behavior science theories, principles, and methodologies to design brand and communication strategies and execute research projects that provide valuable insights into consumer behavior, decision-making processes, and motivations.</li><li>Conduct thorough market research using a combination of qualitative and quantitative methods to identify industry trends, competitor strategies, and customer preferences.</li><li>Utilize statistical analysis and data visualization techniques to interpret research findings, identify patterns, and present actionable recommendations to inform marketing strategies.</li><li>Develop detailed customer personas based on behavior science data to guide the creation of tailored marketing messages and campaigns.</li><li>Collaborate with cross-functional teams, including creative, content, and PR, to optimize marketing campaigns using behavior science insights.</li><li>Implement performance metrics and tracking systems to measure the effectiveness of marketing campaigns and report on key performance indicators (KPIs) to internal stakeholders and clients.</li><li>Provide strategic recommendations based on behavior science insights to enhance brand positioning, stakeholder engagement, and overall marketing effectiveness.</li><li>Stay abreast of the latest developments in behavior science and marketing research, and share knowledge and insights with the team through workshops, presentations, and internal training sessions.</li></ul> Requirements: <ul><li>Bachelors degree in Marketing, Psychology, Behavioral Economics, or a related field. Masters degree in Behavior Science, Marketing, or a related field is preferred but not required.</li><li>Proven experience (5+ years) working as a Marketing Research Analyst or similar role in a PR agency or corporate communications setting to drive behavior science-driven marketing or communications campaigns.</li><li>Strong understanding of behavior science theories, principles, and their application in marketing and communications strategies.</li><li>Proficiency in using statistical analysis tools and data visualization software.</li><li>Excellent communication skills with the ability to present complex data and insights in a clear and compelling manner.</li><li>Strong analytical mindset and attention to detail, with a focus on translating data into actionable strategies.</li><li>Ability to work collaboratively in a fast-paced team environment and manage multiple projects simultaneously.</li><li>Strong project management skills and ability to meet tight deadlines.</li></ul>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

Responsibilities: <ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules.&nbsp;</li><li>Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul> Requirements: <ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges.&nbsp;</li><li>Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages.&nbsp;</li><li>Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

Responsibilities: <ul><li>The Manager, Engineering leads projects to develop engineering solutions for operational issues or new processes.&nbsp;</li><li>This position implements system improvements of capital projects, establishes engineering project objectives and technical criteria for evaluating project results and activities of project team, develops processes that lead to shortened cycle time and makes impact decisions while supporting the policies, goals and objectives of the company.</li><li>Participate in objective setting, plan development and performance review of plant performance</li><li>Develops, plans, coordinates and directs engineering aspects of projects of major scope and importance</li><li>Defines roles and accountabilities to avoid duplicate functions</li><li>Reviews and approves IQ/OQ/PQ test documents, SOPs and Preventative Maintenance work plans for new/upgrade equipment and systems</li><li>Manages external engineering services and recommends resources required to carry out projects or improvements</li><li>Routinely has direct contact with outside consultants, technical counterparts from key vendors Budget monitoring, control, and trend tracking</li><li>Responsible for maintaining qualified state of all active equipment and systems</li><li>Administers key systems including CCMS/CMMS, EMS</li><li>Prepares and maintains departmental policies, SOPs and document templates</li><li>Controls revisions of critical facility and utility drawings</li><li>Acts as subject matter expert during inspection and audits</li><li>Supports safety, health, and environmental policies and procedures</li><li>Works with Environmental Health and Safety to ensure city, county, state, and federal regulations relating to the projects and process improvements are met at all times</li><li>Directs, and enforces the safety program for the engineering group and reviews safety records to uphold standards of maximum safety for all maintenance and calibration staff</li><li>Coordinates activities with manufacturing, packaging, logistics, research and development, technical services and IT Departments</li><li>Communicates directly with the operations departments to coordinate engineering activities</li><li>Communicates directly with QA and QC laboratory to ensure effective participation by engineering staff in the implementation of QA policies and procedures</li><li>Communicates regularly with all engineers, both individually and as a group, to ensure good two-way communication concerning operational improvements and projects</li><li>Assists with planning and implementing plant improvements and expansions</li><li>Prepares reports, analyzes data, and makes recommendations for improving plant operations and solving manufacturing/packaging-related problems</li><li>Initiates and carries out projects that improve efficiency and/or reduce operating costs</li><li>Coordinates with maintenance and operations staff in reviewing the operation of plant equipment and systems to minimize unplanned downtime, anticipate solve problems in a timely manner, and to identify opportunities for improvement</li><li>Assists with deviation investigation and identifies areas for CAPAs as needed based on root causes.</li><li>Sources and procures equipment, supplies and other materials as needed.</li></ul> Requirements: <ul><li>Bachelor of Science in Engineering or Science discipline preferred</li><li>3 years of experience in pharmaceutical engineering, pharmaceutical operations, and operations management</li><li>In-depth knowledge of the pharmaceutical plant operations is an asset</li><li>AutoCAD</li><li>CCMS/CMMS software (Blue Mountain Regulatory Asset Manager)</li><li>EMS/BMS</li><li>PLC programming and electrical troubleshooting</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul>

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492 data science manager Jobs found

Data Science Manager

Java Engineering Lead, Senior Manager

Sales Manager

Senior Manager - Java

Manager IT Digital Solutions

Marketing Research Analyst

Machine Learning Engineering Manager

Senior Data Scientist

Engineering Manager

Downstream Data Scientist

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492 data science manager Jobs found

Data Science Manager

Java Engineering Lead, Senior Manager

Sales Manager

Senior Manager - Java

Manager IT Digital Solutions

Marketing Research Analyst

Machine Learning Engineering Manager

Senior Data Scientist

Engineering Manager

Downstream Data Scientist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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