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**Company Description**
BLEND360 is an award-winning, new breed Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.
**Who we are**:
People are everything here at BLEND360. We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:
- ** Collaborate with a smart, passionate group of people who are invested in your success.**:
- ** Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.**:
- **Thrive with a company and leadership team who are committed to growth.**
**Job Description** What is this position about?**
As a Data Science Engineer you'll collaborate closely with business leaders to address our clients' diverse business challenges. Our engagements span across various sectors including marketing, revenue management, customer service, inventory management, and other key aspects of contemporary business. Our Data Science Engineer possesses the business acumen to deploy data-driven solutions across a spectrum of business models and situations.
- You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay_
**Job Description**:
- Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
- Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps.
- Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
- Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
- Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
- Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.
**Qualifications**:
**Qualifications**
- MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
- 1+ years professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization.
- Experience with one or more Advanced Data Science software languages (Python, R, SAS).
- Experience building Statistics/ML/Deep Learning models independently including EDA, feature engineering, hyper parameter tuning, model performance measurement, and model diagnostics.
- Strong understanding of testing design to include sample size, power, analysis, etc.
- Proven ability to deploy machine learning models.
- Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
- Experience with Spark and data-frames in PySpark or Scala.
- Strong problem-solving skills; ability to pivot complex data to answer business questions.
- Comfortable with cloud-based platforms (AWS, Azure, Google).
- Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.
**What about languages?**
You will need excellent written and verbal English for clear and effective communication with the team.
**How much experience must I have?**
We're looking for someone with 1 year of experience in similar roles.
**Additional Information** Our perks and benefits**:
Every day lunches (headquarters)
- Vegetarian, vegan, gluten and sugar-free options.
- Gourmet meals every Friday with our on-site chef
- ️ Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent (Macbook and accessories).
- Snacks and beverages available everyday (headquarters).
After office events, football, tennis and game nights (headquarters).
- Everyone is welcome to join our football league every Wednesday’s and Friday’s.
- Challenge your teammates to a pool game and win the office’s trophy
- Tennis courts available for friendly matches.
- You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join
Learning opportunities:
- AWS Certifications (we are AWS Partners).
- Stu
