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Pandata Group

Data Science Engineer

Consulting – Madison, Wisconsin
Department Consulting
Employment Type Full-Time
Minimum Experience Mid-level

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 As a Data Scientist on Pandata Group’s Advanced Analytics team, you will use your machine learning and statistical expertise to improve the customer experience, identify patterns that can predict outcomes, and analyze data to answer questions that will create new efficiencies. You will contribute to actionable insight and build automated systems that contribute to companies goal to be business intelligent.


Responsibilities and Duties:


<!-- [if !supportLists]-->·       <!--[endif]-->Define & Translate: Help define the problem that needs to be solved and translate your questions of the data into something actionable. (5%)

<!-- [if !supportLists]-->·       <!--[endif]-->Collect the data: Determine the data that is available, what you need, and how you’re going to get it. (19%)

<!-- [if !supportLists]-->·       <!--[endif]-->Clean the data: Organize your data appropriately and ensure the completeness and quality. (60%)

<!-- [if !supportLists]-->·       <!--[endif]-->Examine the data: Search for the best ideas to test and look for patterns, irregularities, and commonalities. (9%)

<!-- [if !supportLists]-->·       <!--[endif]-->Perform in-depth analysis: research and build machine learning applications and refined as needed  (4%)

<!-- [if !supportLists]-->·       <!--[endif]-->Visualize the result: Tie the problem to the data with great storytelling with leading dashboard tools. (3%)


What You Bring to Pandata Group:

<!-- [if !supportLists]-->·       <!--[endif]-->Minimum of Bachelor’s Degree (Computer Science, Information Systems, I.T.)

<!-- [if !supportLists]-->·       <!--[endif]-->At least 2 years toward a Master’s Degree in a similar field

<!-- [if !supportLists]-->·       <!--[endif]-->A minimum 5 years of work experience in the data analytics space.

<!-- [if !supportLists]-->·       <!--[endif]-->A passion for exploring and solving different kinds of problems.


Core Technical Skills

<!-- [if !supportLists]-->·       <!--[endif]-->Demonstrable experience in Business Intelligence, Advanced Analytics, Data Modeling (physical and logical), data architecture, and data transformation.

<!-- [if !supportLists]-->·       <!--[endif]-->Understanding of decision trees, machine learning, neural networks, predictive analytics, recommendation engines, regression rules, statistics and text mining.


Technology Experience

<!-- [if !supportLists]-->·       <!--[endif]-->Experience with cloud ecosystem (AWS, Azure, and Google Cloud Platform)

<!-- [if !supportLists]-->·       <!--[endif]-->Experience with business visualization tools (e.g. SAP, Microsoft Power BI, Looker, Tableau)

<!-- [if !supportLists]-->·       <!--[endif]-->Experience with cloud advanced analytics tools (GCP ML, Azure ML, Azure Cognitive Services, Cortana Intelligence Suite, DataBricks, AWS Machine Learning, etc.)

<!-- [if !supportLists]-->·       <!--[endif]-->Proficiency with a scripting language (e.g. Python, R, Perl, bash)


What Pandata Group Brings to You:

<!-- [if !supportLists]-->·       <!--[endif]-->A challenging, dynamic and rewarding work environment which fosters rapid professional growth in a space that is at the forefront of information technology.

<!-- [if !supportLists]-->·       <!--[endif]-->An incentivized development program that enhances your skill set with professional training and certifications.

<!-- [if !supportLists]-->·       <!--[endif]-->Competitive merit-based compensation and bonus packages that rapidly reward passionate and driven team members.

<!-- [if !supportLists]-->·       <!--[endif]-->Small company culture, with big company benefits: 4 Weeks PTO (5 Weeks after 5 Years), HMO/ PPO, Dental, Life, Vision, HSA, 401(k) with matching funds.

<!-- [if !supportLists]-->·       <!--[endif]-->A work hard/play hard, familial culture that loves to get together whenever we can for great food (and drink), sporting events, etc. We are equal parts passionate about our people and our work and we like to enjoy ourselves while doing it



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  • Location
    Madison, Wisconsin
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