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Innovid
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  • Data Scientist (Edinburgh)  

    - Edinburgh
    We’re looking for a Data Scientist to join Innovid’s Research, Analyti... Read More
    We’re looking for a Data Scientist to join Innovid’s Research, Analytics make accurate timeline estimates and deliver to those estimates Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches You’ll proactively engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise Build narratives through effective visualization and make solution recommendations that that meet our clients’ needs Work within the common tech stack which includes Jupyter notebooks, Snowflake, and AWS You’ll keep track of projects, tasks and documentation using the Atlassian suite, JIRA/Confluence. You’ll communicate findings, with a focus on business impact, to a variety of audiences both technical and non-technical What You'll Bring to Us: Highly numerate and educated to degree or postgraduate (MSc) in a data related field Minimum 2 years experience working as a data scientist - experience across a number of areas in the data science process: defining problems (and criteria for success), data wrangling, EDA, modeling (including but not limited to ML), interpreting results, and providing relevant insights Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications. Experience in Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) Strong written and verbal communication skills Knowledge of AWS environments and services would be beneficial What we will offer you- 35 days holiday (including public holidays) Pension plan Employee Assistance Programme Life insurance Cycle to Work Scheme Private medical insurance with Vitality Training Read Less
  • We’re looking for a Data Scientist to join Innovid’s Research, Analyti... Read More
    We’re looking for a Data Scientist to join Innovid’s Research, Analytics make accurate timeline estimates and deliver to those estimates Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches You’ll proactively engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise Build narratives through effective visualization and make solution recommendations that that meet our clients’ needs Work within the common tech stack which includes Jupyter notebooks, Snowflake, and AWS You’ll keep track of projects, tasks and documentation using the Atlassian suite, JIRA/Confluence. You’ll communicate findings, with a focus on business impact, to a variety of audiences both technical and non-technical What You'll Bring to Us: Highly numerate and educated to degree or postgraduate (MSc) in a data related field Minimum 2 years experience working as a data scientist - experience across a number of areas in the data science process: defining problems (and criteria for success), data wrangling, EDA, modeling (including but not limited to ML), interpreting results, and providing relevant insights Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications. Experience in Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) Strong written and verbal communication skills Knowledge of AWS environments and services would be beneficial What we will offer you- 35 days holiday (including public holidays) Pension plan Employee Assistance Programme Life insurance Cycle to Work Scheme Private medical insurance with Vitality Training Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany