USA - Data Scientist, Senior Analyst
Columbia, MD, United States
Blend360
Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.Company Description
Blend360 is a world class marketing, analytics, and technology company that delivers the best results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients’ business challenges. Blend360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.
Job Description
- Work in our Columbia, MD office. This is NOT a remote position
- Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints
- Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons
- Develop a project plan including milestones, dates, owners, and risks and contingency plans
- 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
Qualifications
- MS degree in Statistics, Math, Data Analytics, or a related quantitative field
- At least 1 year, preferable 2+ years post grad professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization (THIS IS NOT a NEW GRAD position)
- Strong Communication Skills and the ability to work under tight deadlines
- Strong SQL, Python and Excel skills
- Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
- Strong SQL, Python and Excel..
- Experience with spark and data-frames in PySpark or Scala
- Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
- Comfortable with cloud-based platforms (AWS, Azure, Google)
- Experience with Google Analytics, Adobe Analytics, Optimizely a plus
Additional Information
This job REQUIRES you to work on-site out of our Columbia Maryland office
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Data analysis Data Analytics Data Mining EDA Excel Jupyter Machine Learning Mathematics ML models Predictive modeling PySpark Python Research Scala Spark SQL Statistics
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