
1001 - 5000 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đ Automotive
Consulting âą Healthcare âą Automotive
Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.
đ„ 14 minutes ago
đ§đ· Brazil â Remote
â° Full Time
đĄ Mid-level
đ Senior
âŹïž Data Entry
đ» Ghost score 10%
Where this job comes from
Posted on Sigma Software Group's careers page, not through a job board
First seen by Remote Rocketship 14 minutes ago

1001 - 5000 employees
Founded 2002
đŒ Consulting
đ„ Healthcare
đ Automotive
Consulting âą Healthcare âą Automotive
Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.
âą Analyze and investigate existing detection logic built on interconnected signals and rule-based expressions âą Map complex data flows, processing pipelines, and dependencies across enterprise systems âą Identify redundancy, inefficiencies, and unnecessary complexity in detection structures âą Propose simplification and optimization approaches while preserving detection quality and operational effectiveness âą Conduct exploratory analysis on large and complex datasets âą Assess downstream implications and operational risks of proposed changes âą Translate analytical findings into recommendations for technical and non-technical stakeholders âą Collaborate with engineers, data scientists, and security researchers âą Operate effectively with shifting priorities and short delivery cycles âą Contribute to improving analytical methodologies within the newly forming team
âą 5+ years of experience in Data Science, Analytics Engineering, Data Analytics, or related analytical roles âą Strong proficiency in Python and SQL âą Experience working with large-scale and complex datasets âą Strong analytical and problem-solving skills âą Ability to independently structure ambiguous problems âą Proven experience driving investigations from hypothesis generation to data-backed conclusions âą Strong engineering mindset and ability to understand complex logic and codebases âą Ability to evaluate system behavior and downstream impacts of analytical decisions âą Experience collaborating cross-functionally with engineering and research teams âą Ability to work autonomously with minimal supervision âą Upper-Intermediate or higher English level âą Familiarity with JavaScript âą Experience with Snowflake is a plus âą Experience in cybersecurity, fraud detection, or risk analytics domains is a plus âą Experience with rule-based systems or detection pipelines is a plus âą Exposure to enterprise-scale analytics platforms is a plus âą Understanding of data pipeline architecture and signal processing systems is a plus
âą Remote/hybrid work opportunity âą Opportunity to work on technically sophisticated products âą Ability to influence analytical practices from the early stages âą Collaboration with experienced international teams âą Fast-paced environment with autonomy
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