Job Description

Introduction:

As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating advanced analytics pipelines. We are looking for a Data scientist with a passion of understanding customers centric analytics. Preferably with experience in analyzing physiological and customer behavior.

If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you!

Requirements:

* MS degree in Statistics, Economics, Data Analytics, or a related quantitative field * 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning including time series forecasting, regression and classification * Experience with one or more Advanced Data Science software languages (Python, R, SQL, Spark) * Must have hands-on experience in customer centric solutions production solutions analyzing customer behavior and /or physiological metrics. * Must have hands-on experience in building ML production systems making recommendation to end-users. * Must have hands-on predictive analytics consuming from a physiological perspective. * Proven ability to deploy machine learning models from the research environment to production via procedural or pipeline approaches. * Must have ability to vulgarize the outcome of machine learning and statistical modeling to non-technical audience. * Must be able to navigate the business independently, decipher business needs and translate into proper phased analytical projects. * Hands-on experience with Data engineering technics in the Cloud (AWS, Azure, GCP), preferably with Databricks and data lakes * Working knowledge with Kafka and ELK Message Broker queues * Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases topologies * Strong problem-solving skills; ability to pivot complex data to answer business questions. * Good planning abilities in order to accurately make project timeline estimates. * Ability to show initiative and work independently with minimal direction. * Self-starter and strong interpersonal skills. * Good communication and coaching skills * Must be able to navigate the business independently, decipher business needs and translate into proper phased analytical projects * Must have a sharp business acumen, be able to prioritize his work and identify conditions of success of a project, from a data science, data engineering and process perspective

Nice to have:

* Good communication and presentation skills. * Nice to have hands-on LLM and prompt engineering experience * Nice to have video processing / recommendation engine / Chatbots / Fraud detection * Nice to have experience in causal inference * Proven ability to visualize data for influencing (Qlik, PowerBI, Tableau) * Good appreciation for the Agile/Scrum methodology * Ability to prove statistical significance of any business decision / sampling and other

Responsibilities & Authorities:

* Our primary focus is Data Sciences; leveraging data and applied mathematics to solve business challenges. * They should be able to work independently in gathering requirements, developing roadmaps, and delivering results. * Teamwork and Leadership: We work as a team and Data Scientists are required to lead projects by example * Technical know-how: Our Data Scientists have a broad knowledge of a variety of data and mathematical solutions. * Our work includes statistical analyses, predictive modeling, machine learning, and experimental design. * We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. * We validate and cross-validate our recommendations to make sure our recommendations will perform well over time. * Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results. * Interview, hire and train new employees. * Analyze team KPIs, develop solutions and alternative methods to achieve goals. * Build positive and productive relationships for business growth. * Problem-solve with management to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons * Work with management to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps * Develop a project plan including milestones, dates, owners, and risks and contingency plans * Create and maintain efficient data pipelines, often within clients architecture. * Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies * Assemble large, complex data sets from client and external sources that meet functional business requirements. * Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. * Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. * Be able to summarize and describe data and data issues * Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making * Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools * Document predictive models/machine learning results that can be incorporated into client-deliverable documentation * Assist client to deploy models and algorithms within their own architecture

Common responsibilities:

· Comply with Avrioc's Information security and Information service management policies, procedures, and standards.

· Maintain confidentiality and integrity of information and attend mandatory Information security training.

· Report information security incidents through Avrioc's established incident reporting channel.