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    Senior Machine Learning Engineer - Helsinki

    Finland, Helsinki

    • €5,000 to €7,000 EUR
    • Developer Stelle
    • Fähigkeiten: data science, python, machine learning, AWS, Azure, ML, MLOps
    • Seniority: Senior

    Jobbeschreibung

    We are looking for a senior machine learning engineer to join the team in Helsinki!

    We are a team of 50+ based in Helsinki who have created a SaaS platform to help businesses have more success with their product launches based on data & insights

    You will be based in-house working with our team and part of the wider data & engineering environment, reporting into the Lead Data Scientist

    We hope that you can:

    * Bring strong expertise and know-how in Data Science and Machine Learning (ML) Engineering.
    * Be the primary go-to person for data Analysis and ML topics.
    * Reinforce the company's technical project management capabilities by effectively coordinating project development across the Data Science stack.
    * Contribute fresh ideas to the team for building and maintaining ML models at scale.

    Your task:

    * After 2-3 weeks, you will add value as an Individual Contributor on data analysis, model development and machine learning productization.
    * After 4 months, you will demonstrate a thorough understanding of the company's business domain and application-specific features.
    * After 6 months, you will effectively drive a project and be in charge of communication with the Product team.

    What are we looking for in you?

    * We hope that you can bring a strong academic background along with 5+ years of experience in building ML models
    * We would like you to have worked with multiple data sources and operating ML models at scale
    * It is beneficial if you have worked with sales predictions using different types of data or marketing mix modelling
    * We also valuable personal skills and hope you will be a great team player with excellent communication skills for both technical and non-technical colleagues

    Technologies you are expected to master: Python, SQL, AWS

    To be successful in this role, you will be:

    * Results-driven, by always looking for solutions, not excuses. Willing to go the extra mile when needed.
    * Quality-driven: committed to building robust, maintainable, and high-performance code.
    * A holistic thinker who looks at the bigger picture, striving to include both what the company customers and the business need.
    * Highly ambitious, with a proactive approach to your own professional growth.
    * Flexible and effective in a hybrid working environment.

    What's in it for you?

    * Opportunities for professional growth in a fast-growing, evolving company
    * Office with a view in downtown Helsinki
    * Hybrid working policy with most colleagues doing 2-3 days per week in office, and flexitime available
    * Occupational Pensions
    * Lunch benefits
    * Equity

    For any questions, contact Lucy on l.whiting@tenthrevolution.com

    Senior Data Scientist

    Finland, Helsinki

    • Up to €7,000 EUR
    • Data Science Stelle
    • Fähigkeiten: AWS, Python, SQL
    • Seniority: Senior

    Jobbeschreibung

    Senior Data Scientist - Product Company - Growth Opportunity - Up to €7,000 depending on experience.



    The role:

    The Senior Data Scientist will be part of the Data Science team in the Engineering Department. You will report directly into the Data Science Team Lead.



    As part of your main responsibilities, you will:

    * Bring strong expertise and know-how in Data Science and Machine Learning (ML) Engineering.
    * Be the primary go-to person for data Analysis and ML topics.
    * Reinforce the company's technical project management capabilities by effectively coordinating project development across the Data Science stack.
    * Contribute his/her experience and fresh ideas to the team for building and maintaining ML models at scale.



    Your task:

    Our client believes in setting clear objectives. Here are their expectations for your first 6 months as a Senior Data Scientist:

    * After 2-3 weeks, you will add value as an Individual Contributor on data analysis, model development and machine learning productization.
    * After 4 months, you will demonstrate a thorough understanding of the company's business domain and application-specific features.
    * After 6 months, you will effectively drive a project and be in charge of communication with the Product team.



    What leads to success:

    With 5yrs+ experience in building ML models with multiple data sources, operating ML models at scale and sales predictions using different types of data or marketing mix modelling, you will be a great team player with excellent communication skills with technical and non-technical stakeholders.



    Technologies you are expected to master: Python, SQL, AWS or other cloud infrastructures.



    To be successful in this role, you will be:

    * Results-driven, by always looking for solutions, not excuses. Willing to go the extra mile when needed.
    * Quality-driven: committed to building robust, maintainable, and high-performance code.
    * A holistic thinker who looks at the bigger picture, striving to include both what the company customers and the business need.
    * Highly ambitious, with a proactive approach to your own professional growth.
    * Flexible and effective in a hybrid working environment.



    They offer:

    * Opportunities for professional growth in a fast-growing, evolving company
    * Office with a view in downtown Helsinki, remote work possible
    * Employee benefits
    * Occupational Pensions
    * Lunch benefits
    * Equity



    This is a brief description of the role, for the full information, simply apply to the role and I will call you to discuss.



    Twitter: @_JeffersonFrank

    LinkedIn: https://www.linkedin.com/in/sarah-king-624956160/

    Email: s.king@jeffersonfrank.com

    Phone: +358 75 326 6584



    Please Note: This is a permanent role. This role is for Finnish residents only. This role does not offer Sponsorship. You must have the right to work in Finland with no restrictions. Some of our roles may be subject to successful background/security checks.



    I will call you to discuss your skill-set further.



    I specialise in Mobile, Web and Cloud (AWS) recruitment here at Jefferson Frank International, focusing on the placement of highly-skilled candidates in various IT positions (Engineers, Analysts, Architects, Consultants, Project Managers, Management etc.).

    We are the only global recruitment agency dedicated solely to AWS technology. Jefferson Frank is the AWS recruitment agency of choice. Whether it's a contract, permanent or remote position, we find great people great jobs.

    Attribution SME - Data Analyst - Marketing - Outside IR35

    England

    • Negotiable
    • Engineer Stelle
    • Seniority: Senior

    Jobbeschreibung

    Role - Attribution SME - Data Analyst

    Location - Fully Remote

    Start Date - First week of September

    Rate - Market Rates

    Contract Length - 3 Months initially (View to extend long term)

    The role is Outside IR35



    Description:

    I'm looking for an experienced Attribution SME/Data Analyst with an extensive marketing & gaming background.

    Requirement:

    * Understand how to better attribute a sale to multiple touch points
    * Need someone in marketing, that client facing and work with that team and the existing technical team
    * Domo - BI Tool
    * Strong MMM
    * Know regulations around gaming

    The role is outside IR35 and Fully remote.

    Key Skills

    * Advanced Attribution Modelling

    Proficiency in building data-driven attribution models including multi-touch attribution (MTA).
    Experience with statistical modelling and machine learning techniques to improve attribution accuracy.

    Google Analytics 4 (GA4), R, Python, and other data analysis platforms like SQL, or Looker.

    * Data Engineering and Integration

    Strong understanding of data pipelines, ETL processes, and data warehousing.
    Experience with cloud platforms like AWS, Redshift, and Azure Databricks for data migration and integration. SQL, AWS, and Redshift

    * Web and Server-Side Analytics

    Deep knowledge of web analytics and server-side tracking to ensure accurate data collection.
    Experience with Google Tag Manager (GTM), and server-side tagging solutions.

    * Customer Journey Analysis

    Understanding of customer journey mapping and how different touchpoints contribute to conversions.
    Ability to identify gaps in the customer journey and recommend improvements for more comprehensive analysis.

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