Downstream Data Scientist

Lead, Data Engineering

Data Analyst (1 year contract)

Dot Net Cloud Developer

Data Engineer

Python Developer

Machine Learning Engineering Manager

Manager - Tax Audit

Manager Data Analytics

Tax Supervisor

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>

Responsibilities: <ul><li>Translate business requirements to responsive functional web solutions.&nbsp;</li><li>This includes designing and building APIs, front-end interfaces and scalable tools that ingest and transform real-time data using a variety of open-source and proprietary big data technologies.</li><li>Recommend and implement ways to improve data reliability, efficiency and quality</li><li>Work closely with stakeholders to ensure high standards of data governance during implementation</li><li>Serve as technical subject matter expert on the latest big data technologies</li></ul> Requirements: <ul><li>Hands-on proven track record in developing products from front-end interface, middle-tier, to backend infrastructure</li><li>7+ years of superior experience developing commercial web-based applications</li><li>4+ years of full-stack web development experience in Javascript (node.js and React framework)</li><li>Proficiency in SQL is mandatory</li><li>Excellent scripting knowledge in Python, Shell etc</li><li>Those with strong production experience in Scala or Spark programming languages will be considered favourably</li><li>Relevant experience in web, video, mobile or adtech domain is a definite plus</li><li>Demonstrated clear and thorough analytical thinking</li><li>Good eye for aesthetics and an attention to detail</li><li>A proven team player and contributor who can multi-task and deliver against timelines</li><li>Minimum degree in Computer Science/Engineering, or equivalent</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>Design, develop cloud based applications using Microsoft Azure and other Cloud platforms.</li><li>Design, develop web applications, desktop applications using Microsoft technologies (.NET, C#, Microsoft Azure, IoTHub, WCF, WPF, SQL Server, Elastic DB, Redis).</li><li>Work closely with onsite, offshore and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of Mobile Applications</li><li>Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program</li></ul> Requirements: Education <ul><li>BE/ BTech degree in Computer Science or Electrical, Electronics with 5 to 8 plus years of software engineering and Mobile application development experience</li><li>TECH/MCA/ MS degree in Computer Science or Electrical, Electronics with 4 to 6 plus years of software engineering experience</li></ul> Required Technical Skills/Education: <ul><li>Excellent communication and leadership skills</li><li>3-5 years of Cloud software development experience under Agile development life cycle processes and tools</li><li>Must have experience working with project management tools such as Jira, Rally, or TFS.&nbsp;</li><li>Must have experience with source control tools like TFVC and/or Git</li><li>Strong understanding of cloud technologies including SaaS, PaaS, and IaaS</li><li>Develop messaging solutions using service bus queues, topics, relays, and notification hubs; create service bus namespaces and choose a tier; scale service bus</li><li>Develop apps that use WS-federation, OAuth, and SAML-P endpoints</li><li>Hands-on experience Implementing Redis caching, Azure Cache Services</li><li>Hands-on design and implementation of transient fault handling for services, respond to throttling, Application Request Routing (ARR) affinity</li><li>Troubleshoot and resolve concurrency issues in database</li><li>Design always on, availability groups, geographical fault tolerant highly available database solutions</li><li>Good Hands on experience diagnosing performance bottlenecks, wait stats, SQL query monitoring, review and optimization strategies</li><li>Thorough experience in cache and non-relational databases like Cosmos DB etc.</li><li>Hands-on development using distributed logging frameworks like serilog and diagnostics/dashboards using application insights.</li><li>Sound knowledge and hand-on experience using Application lifecycle management, DevOps, CI and CD using TFS and Team services</li><li>Hands on experience designing cloud applications for resilience and availability.</li><li>Create normalized and highly scalable logical and physical database design and switch between different database technologies like Oracle, SQL Server, Elastic databases to low end databases like SQLLite</li><li>Measure latencies, query execution times and propose and drive database/query optimization techniques&nbsp;</li><li>Mobile first approach in designing applications and strong TDD fundamentals</li><li>Thorough understanding of the Microsoft IOT suite including IOT Hubs, Event Hubs, Stream analytics, Machine learning, Notification Hubs etc.</li><li>&nbsp;Hands on porting experience in atleast one IOT stacks on the embedded devices and at least one wireless and wired sensor/telemetry devices integration with cloud.</li><li>Thorough knowledge and hands-on developing ARM templates and PowerShell scripts.</li><li>Good understanding of the IOS/Android App submission and integration needs and impact on the cloud development</li><li>Assertive communication, leadership and team skills</li></ul> Preferred Technical Skills/Education: <ul><li>Experience with Building Automation and/or HVAC domain</li><li>Knowledge on capabilities of cloud platforms like AWS, Google App Engine, VM Cloud, Orange etc.</li><li>Good understanding of the Linux, AIX, Windows Operating systems, evolution and differences.&nbsp;</li><li>Good understanding on Windows 7, Windows 8, 8.1 and 10 desktop apps, store apps etc.</li><li>Experience in designing big data applications, interactive solutions, big data real time processing solutions, cognitive services, Data lake analytics, Hadoop/HDInsight, Machine learning and Microsoft analytics platform, machine learning and end to end cloud analytics</li><li>Knowledge in data science</li><li>Additional Comments</li></ul>

Responsibilities: <ul><li>Collaborate with the Product Owner, Business analyst and other team members to understand data requirements and design scalable data pipelines and architectures.</li><li>Build and maintain data ingestion, transformation, and storage processes using Databricks and Azure services.</li><li>Develop efficient ETL workflows to extract, transform, and load data from various sources into data lakes or data warehouses.</li><li>Optimize and fine-tune data pipelines for performance, reliability, and scalability.</li><li>Implement data quality checks and monitoring to ensure data accuracy and integrity.</li><li>Work with BI developers and data analysts to provide them with the necessary data infrastructure and tools for analysis and reporting.</li><li>Troubleshoot and resolve data-related issues, including performance bottlenecks and data inconsistencies.</li><li>Stay up to date with the latest trends and technologies in data engineering and recommend improvements to existing systems and processes.</li><li>Document data engineering processes, data flows, and system configurations.</li></ul> Requirements: <ul><li>Highly self-motivated, work Independently, assume ownership and results oriented.</li><li>desire and interest to stay up to date with the latest changes in Databricks, Azure and related data platform technologies.</li><li>ime-management skills and the ability to establish reasonable and attainable deadlines for resolution.</li><li>Strong programming skills in languages such as SQL, Python, Scala, or Spark.</li><li>Experience working with Databricks and Azure services, such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure SQL Database and Azure Synapse Analytics.</li><li>Proficiency in data modeling, database design, and SQL query optimization.</li><li>Familiarity with big data technologies and frameworks like Hadoop, Spark, and Hive.</li><li>Familiarity with data governance and security best practices.</li><li>Knowledge of data integration patterns and tools.</li><li>Understanding of cloud computing concepts and distributed computing principles.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills to work effectively in an agile team environment.</li><li>Ability to handle multiple tasks and prioritize work in a fast-paced and dynamic environment.</li></ul> Qualifications: <ul><li>Bachelor’s degree in Computer Science, Engineering or a related field.</li><li>2+ years of proven experience as a Data Engineer, with a focus on designing and building data pipelines.</li><li>Certifications in Databricks or Azure services is a plus.</li><li>Experience with data streaming technologies such as Apache Kafka or Azure Event Hubs is a plus.</li></ul>

Role Description: <ul><li>Our client is expanding its R&amp;D development team in Romania! To support the stronger demand for our data-driven solutions and as part of our strategy to expand, they are currently looking for a Mid Python Developer to be ideally based in Cluj-Napoca / Home Office or Remote possibility.</li><li>As a Mid Python Developer, you will work for Machine Learning projects, you will have an exciting opportunity to contribute to our core data management project and building innovative solutions leveraging machine learning techniques.</li></ul> Responsibilities: <ul><li>You will partner with Data Scientists to design, develop and maintain stable data and machine learning code relevant for each business case</li><li>You will collaborate with other software developers, QA engineers, product owners and software architects to plan, design, develop, test, and maintain business applications</li><li>You will assist in the collection and documentation of user’s requirements, estimate and work plans</li></ul> Requirements: <ul><li>You have a Bachelor of Computer Engineering, with multiple development experience, or a first professional experience within a data engineering &amp; science department</li><li>2-4 years of experience as Software Developer</li><li>You have experience in OOP programming</li><li>You have experience with good practice standards and code-production standards (usage of linters, unit/integration tests, etc.)</li><li>You are familiar with Rest APIs and relevant knowledge in Python (experience with either Flask or FastAPI)</li><li>Experience with big data processing technologies is a plus</li><li>A bonus would be experience with asynchronous programming</li></ul>&nbsp;We will inspire you with this: <ul><li>A committed, professional, and pragmatic team with short decision-making processes and flat hierarchies</li><li>An open and informal corporate culture with freedom and flexibility in daily activities and the opportunity to help shape the digital transformation of our company</li><li>The connection to a successful and internationally operating group of companies</li><li>Short decision-making processes, flat hierarchies, and room for the implementation of your own ideas are the order of the day with us</li><li>A challenging and varied job with professional development opportunities</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>Oversight of the Companys transfer pricing matters and partnering with multiple stakeholders to provide support on transfer pricing-related issues</li><li>Handling transfer pricing analysis and reporting</li><li>Managing and preparing transfer pricing documentation to support intra-group transactions in compliance with local regulations</li><li>Conducting a regular internal reviews of transfer pricing policies in accordance with the latest tax regulation developments</li><li>Provide advice on transfer pricing implications for new business initiatives</li><li>Support transfer pricing audits, including responding to tax authorities on matters or queries relating to transfer pricing.</li></ul> Requirements:&nbsp; <ul><li>The candidate should have minimum 8 years’ experience in tax consultant, preferable in big four (KPMG, PwC, EY, or Deloitte).</li><li>The candidate should have deep knowledge about taxation, both ID Tax and International Tax (OECD), as well transfer pricing&nbsp;</li><li>The candidate should have Tax Certification (USKP, brevet, A, B and C)</li><li>The candidate should have experience in dealing with Tax Audit and tight deadline</li><li>The candidate should have experience in managing big team</li></ul>

Responsibilities: Net revenue management analytics: <ul><li>Working with Finance, Commercial, Portfolio and business unit heads to lead priority analytical projects to provide analytical support for NRM projects and revenue-related business activities.</li></ul> Take accountability for management and deployment of: <ul><li>Revenue / volume / pricing / share-of-market modeling and forecasting projects</li><li>ROI calculations and projections models</li><li>Portfolio analysis and portfolio rationalization projects</li><li>Python applications development, deployment and ongoing support</li></ul> Data quality &amp; integrity analytics: <ul><li>Working with internal and external stakeholders to lead data governance efforts to ensure understanding and defining the appropriate thresholds for data quality metrics, both technical and business.</li><li>Take accountability for management and deployment of:</li><li>Master data analytics &amp; management activities</li><li>Business data quality monitoring and addressing DQ issues</li><li>Data accuracy and coverage reports maintenance activities</li><li>Data flow analytics and data process improvement</li></ul> Requirements: <ul><li>University degree in quantitative fields: in STEM (Science, Technology, Engineering, Mathematics), Finance, Economics, Business or equivalent.</li><li>5+ years of hands-on experience as a Data Scientist, Data Analyst or Data Engineer.</li><li>Strong proficiency with SQL and Python. </li><li>Experience with data visualization in PowerBI.</li><li>Strong analytical and learning capability - ability to formulate and verify hypothesis regarding data.</li><li>Ability to take on projects with a sense of ownership and ambitious attitude.</li><li>Collaborative &amp; entrepreneurial results-driven mindset. </li><li>Capable of aligning top-down, cross-functional and market priorities, analyses and insights.</li><li>Learn quickly &amp; acquire skills for working in virtual teams (team members will be in different locations).</li><li>Be comfortable extracting insights from quantitative data, connecting the dots across multiple data sources and making business recommendations.</li><li>Strong Excel &amp; PowerPoint skills.</li><li>Fluency in English required.</li></ul>

Responsibilities: <ul><li>Oversight of the Companys transfer pricing matters and partnering with multiple stakeholders to provide support on transfer pricing-related issues</li><li>Handling transfer pricing analysis and reporting</li><li>Managing and preparing transfer pricing documentation to support intra-group transactions in compliance with local regulations</li><li>Conducting a regular internal reviews of transfer pricing policies in accordance with the latest tax regulation developments</li><li>Provide advice on transfer pricing implications for new business initiatives</li><li>Support transfer pricing audits, including responding to tax authorities on matters or queries relating to transfer pricing.</li></ul> Requirements: <ul><li>The candidate should have minimum 8 years’ experience in tax consultant, preferable in big four (KPMG, PwC, EY, or Deloitte).</li><li>The candidate should have deep knowledge about taxation, both ID Tax and International Tax (OECD), as well transfer pricing&nbsp;</li><li>The candidate should have Tax Certification (USKP, brevet, A, B and C)</li><li>The candidate should have experience in dealing with Tax Audit and tight deadline</li><li>The candidate should have experience in managing big team</li></ul>

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339 big data Jobs found

Downstream Data Scientist

Lead, Data Engineering

Data Analyst (1 year contract)

Dot Net Cloud Developer

Data Engineer

Python Developer

Machine Learning Engineering Manager

Manager - Tax Audit

Manager Data Analytics

Tax Supervisor

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339 big data Jobs found

Downstream Data Scientist

Lead, Data Engineering

Data Analyst (1 year contract)

Dot Net Cloud Developer

Data Engineer

Python Developer

Machine Learning Engineering Manager

Manager - Tax Audit

Manager Data Analytics

Tax Supervisor

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

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Contact Us

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