Middle Data Scientist
Middle Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
AgileEngine is a topranking provider of software solutions to Fortune 500 Global 500 and Future 50 companies. Listed on Inc. 5000 among the fastestgrowing US companies we are always open to talented software UX and data experts in the Americas Europe and Asia.
If you like a challenging environment where you re working with the best and are encouraged to learn and experiment daily there s no better place guaranteed! :)
What you will do
Tasking with feature engineering understanding our sales teams goals identifying opportunities for sales to engage with their clients and light data engineering where appropriate;
Initial tasks will be to predict likelihood that when a sales rep reaches out a client will buy a specific product;
Analyzing designing and implementing efficient data pipelines (ETLs) to work together Data Engineers teammates to integrate data from various sources into Indeed s data platforms;
Designing and implementing data model changes that align with data standards;
Work with existing APIs written in Flask (python);
Crafting ideal opportunity types and cohorts for sales to work;
Monitoring production data pipelines daily to ensure completion maintain data quality and address performance issues;
Reading and interpreting system logs to evaluate system health or perform root cause analysis;
Identifying pipeline issues and working with colleagues vendors and external teams to resolve;
Clearly communicating pipeline statuses with management and stakeholders.
Must haves
Ideally a bachelor s degree in computer science computer engineering or an engineering discipline;
5 years of industry experience in software development and/or data science with strong expertise in fastpaced and deliverfocused environments;
2 years of experience building ML models in a sales type environment;
Extensive production experience in SQL;
Extensive experience building an ETL from scratch;
3 years of experience with Python/Flask;
3 years of handson experience with big data technologies (such as Redshift Hive Trino/Presto or similar technologies);
Experience with modeling data;
Experience in Athena;
Experience with MySQL;
Experience in Gitlab CI;
Experience in AWS cloud platform (SQS S3 services);
Extensive experience in writing technical documentation;
Upperintermediate English level.
Nice to haves
Experience in Spark;
Experience in Tableau or Google Data Studio;
ETL work will be in Dagster but may not be a primary focus of the individual.
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship TechTalks and personalized growth roadmaps.
Competitive compensation
We match your evergrowing skills talent and contributions with competitive USDbased compensation and budgets for education fitness and team activities.
A selection of exciting projects
Join projects with modern solutions development and toptier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal worklife balance by having the options of working from home and going to the office whatever makes you the happiest and most productive.
Ideally a bachelor s degree in computer science, computer engineering, or an engineering discipline; 5+ years of industry experience in software development and/or data science with strong expertise in fast-paced and deliver-focused environments; 2+ years of experience building ML models in a sales type environment; Extensive production experience in SQL; Extensive experience building an ETL from scratch; 3+ years of experience with Python/Flask; 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies); Experience with modeling data; Experience in Athena; Experience with MySQL; Experience in Gitlab CI; Experience in AWS cloud platform (SQS, S3 services); Extensive experience in writing technical documentation; Upper-intermediate English level.
Employment Type
Full Time
