Rodzaj pracy: Full time
Rodzaj umowy: Permanent
Ilość wakatów: 1
Minimalne doświadczenie: Three and five years
Wykształcenie: Bachelor
Branża: Jobs in IT - Programming / Analysis
Project information:
• Industry: e-commerce
• Type of project: Data Science
• Location: Katowice city center
• Workday: 8:00/9:00 - 16:00/17:00
• Project language: English
• Assignment start: ASAP
Responsibilities:
• Designing and developing program methods, processes, and systems to consolidate and analyze structured/unstructured, diverse ’big data’ sources to generate actionable insights.
• Interacting with product and business teams to identify questions and issues and translate it into data science problems.
• Developing and coding software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifying meaningful insights from large data and metadata sources; interpreting and communicating insights and findings from analysis and experiments to product, service, business managers and customer service operations lead.
• Applying state of the art machine learning/ deep learning techniques.
Requirements:
• Strong analytical background, at least a BS, and preferably an MS or PhD, degree in computer science, statistics or related quantitative field, with an emphasis on data mining, statistics, machine learning, algorithms or similar field.
• Understanding of applied math topics such as probability and statistics, linear algebra, basic optimization techniques, etc.
• 2+ years work experience as a data scientist or a related role.
• Knowledge of Python/R with experience in machine learning related packages.
• Knowledge of SQL with experience in data warehouse technologies like Teradata.
• Experience/willingness to learn big data technologies like Hadoop and Hive.
• Experience using a wide range of analytical techniques: both supervised and unsupervised e.g., clustering, natural language processing (NLP), recommender engines, time series analysis, A/B testing, sentiment analysis and data visualization.
• Experience in deploying machine learning models into production, using and writing APIs .
• Ability to communicate DL/ML results to business.
• Ability to work highly independently and manage multiple priorities in an agile fast paced environment.
We offer:
• Stable employment contract (B2B, regular employment contract).
• Multisport card and private medical care (Signal Iduna).
• Huge opportunities for career development.
• Good working atmosphere in a harmonious young team.
• Work in a brand new office in the city center.
• Team building / Integration meetings.
• Chill out room with Xbox.
• Free fruits, yogurts and coke at the kitchen everyday
Job Description
Project information:
• Industry: e-commerce
• Type of project: Data Science
• Location: Katowice city center
• Workday: 8:00/9:00 - 16:00/17:00
• Project language: English
• Assignment start: ASAP
Responsibilities:
• Designing and developing program methods, processes, and systems to consolidate and analyze structured/unstructured, diverse ’big data’ sources to generate actionable insights.
• Interacting with product and business teams to identify questions and issues and translate it into data science problems.
• Developing and coding software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifying meaningful insights from large data and metadata sources; interpreting and communicating insights and findings from analysis and experiments to product, service, business managers and customer service operations lead.
• Applying state of the art machine learning/ deep learning techniques.
Requirements:
• Strong analytical background, at least a BS, and preferably an MS or PhD, degree in computer science, statistics or related quantitative field, with an emphasis on data mining, statistics, machine learning, algorithms or similar field.
• Understanding of applied math topics such as probability and statistics, linear algebra, basic optimization techniques, etc.
• 2+ years work experience as a data scientist or a related role.
• Knowledge of Python/R with experience in machine learning related packages.
• Knowledge of SQL with experience in data warehouse technologies like Teradata.
• Experience/willingness to learn big data technologies like Hadoop and Hive.
• Experience using a wide range of analytical techniques: both supervised and unsupervised e.g., clustering, natural language processing (NLP), recommender engines, time series analysis, A/B testing, sentiment analysis and data visualization.
• Experience in deploying machine learning models into production, using and writing APIs .
• Ability to communicate DL/ML results to business.
• Ability to work highly independently and manage multiple priorities in an agile fast paced environment.
We offer:
• Stable employment contract (B2B, regular employment contract).
• Multisport card and private medical care (Signal Iduna).
• Huge opportunities for career development.
• Good working atmosphere in a harmonious young team.
• Work in a brand new office in the city center.
• Team building / Integration meetings.
• Chill out room with Xbox.
• Free fruits, yogurts and coke at the kitchen everyday
Additional Information
- Last updated
- Employment type
- Full time
- Contract type
- Permanent
- Number of vacancies
- 1
- Min. experience
- Three and five years
- Min. education
- Bachelor
- Industry / category
- Jobs in IT - Programming / Analysis
Employer legal information
Personal data provided by the candidate related to:
- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,
- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.
Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.
Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or
objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.
The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.
