Senior Data Scientist

# Senior Data Scientist Skyward IT Solutions

MDFull-Time Jun 01, 2026

Information Technology##

Job Description
** We are Skyward.
** That is, a love for people, for improvement, for human advancement through information technology. We are a people-centered business with a desire to serve others. We are diverse and unified; creative and collaborative; a collection of complementary, not competing talents. And though on the surface we remain relaxed, beneath, a torrent of energy links us to our civic tech mission.

We stand by our values, and we won’t compromise on any of them.
** Integrity:
** We’re conscientious, intentional, and empathetic. Our words and actions align. That’s our character. Please don’t ask us to play another part, we’re poor actors.

** Compassionate:
** If we may borrow a quote from Theodore Roosevelt: “No one cares how much you know until they know how much you care.” Because our team is thoughtful and supportive, caring deeply for each other, our clients, and our work, this comes naturally.
** Inquisitive:
** We remain students by failing openly and turning lessons into solutions.
** Unconventional:
** For us, life isn’t what happens outside of work. Work happens inside of life and our culture erases the line often dividing the two.

** Authentic:
** Made possible only because we embody the values listed above. We’re relaxed and fun yet intensely curious and driven. Team members are placed with thought, care, and precision to ensure that Trust, Truth, and Transparency continue to represent our brand. Because of that, we continue Onward, Upward, and Skyward.  **(
** CONTINGENT HIRE BASED ON CONTRACT AWARD**)
**** We need a Senior Data Scientist.
** The kind who looks at a tangle of federal and private datasets that don’t share schemas, don’t share IDs, and were never meant to talk to each other, and gets a little excited. The kind who knows that the answer is almost never “throw a bigger model at it” and is almost always “understand the data first, then pick the model.”

The kind who can sit across from a federal subject matter expert and explain what a Leiden community is without making them feel dumb, and without dumbing it down either.

If you’ve ever quietly fixed someone else’s “production” notebook on a Friday afternoon - the one with hard-coded paths, no random seed, and a function called _v3() - this might be you.

Come join us if you're motivated to learn from others, to learn from mistakes, to be part of a future-looking and growth-oriented team.

Let's go Skyward together.### What you'll do:
* Lead end-to-end data science experiments. From a data readiness assessment, through clustering and topological risk modeling, into unstructured-data enrichment and entity resolution.
* Run exploratory data analyses (EDAs) on government-furnished data inside a government-controlled environment: profile completeness, find the schema mismatches, flag the gaps, and document what the data can and cannot support before a single model gets trained.
* Apply graph analytics. Leiden community detection, betweenness and eigenvector centrality, motif analysis, temporal cluster detection, link prediction. And be able to explain in plain English what each one means and what it doesn’t.
* Train interpretable classifiers (logistic regression, gradient boosted trees) and Graph Neural Networks (Graph

SAGE, GAT) where the data supports them; reach for unsupervised anomaly detection when labels are thin (and they will be).
* Run probabilistic entity resolution across biographic, behavioral, and biometric features using tools such as Senzing. Handle name transliteration, DOB variation, and fuzzy address matching like the working scientist you are.
* Apply LLM-based Named Entity Recognition and relationship extraction to unstructured field text and quantify whether the extracted edges actually change the graph (rather than just adding noise that looks impressive in a deck).
* Wrangle messy data and recommend supplemental, de-identified data sources that would enrich the analysis, and document the case for each recommendation so the customer’s privacy and legal teams can make an informed call.
* Document everything so the…