Description:

Primary Responsibilities

• Engage with business stakeholders and create meaningful and productive relationships with them to drive

business change management, effective communication of analytics, and insights implementation to actions

• Act as a subject matter expert in providing technical guidance and mentorship to peers on analytics and analysis

best practices, solution design, as well as lead code/design reviews

• Through initiation and driving of projects, provide meaningful insights using advanced analytics models and

solutions targeted to respond to critical business issues and accelerate stakeholder growth and success

• Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of

core business areas

• Deliver informative and effective findings, results, and recommendations from statistical analysis to

stakeholders

• Develop and lead a team of high-performing and engaged employees through effective people leadership

practices including regular communication of performance expectations and feedback to employees to maintain

high team performance; provide coaching and corrective action as required; actively support employee

professional growth and development

• Meet established department metrics; update leader on all major projects and goal progress; research, resolve

and communicate operational and employee issues to leader or other business units as appropriate

• Research, design, implement and validate cutting-edge algorithms/models analyzing diverse data sources to

achieve targeted outcomes

• Process, cleanse, and verify the integrity of data and the data pipelines used for analysis

• Plan and implement experimental designs, performing statistical analysis on experimental data linked to campaigns

• Initiate and drive projects to completion, including supporting stakeholders in the integration of advanced

analytics assets into their operational processes

• Recommend ongoing improvements to methods and algorithms currently in production

Experience and Education Requirements

• Minimum Education: Master’s or PhD degrees in Mathematics, Statistics, Data Science, Econometrics, or

relevant fields

• Minimum 8 years’ professional experience in a data science role, working with large amounts of data, and

implementing end-to-end (inception to productization) solutions in the financial services industry

• 3+ years of managing and leading a team of data scientists; preferably in the financial services industry

• Expert knowledge and experience in NLP, LLMs, predictive and prescriptive analytics approaches

• Deep understanding of machine learning (ML) techniques including but not exhausted to clustering,

classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly

detection, association rules, sequential pattern discovery and deep learning

• Demonstrated experience with common business intelligence and data visualization tools (Tableau preferred)

• Demonstrated experience with cloud-based Data Science platforms (Dataiku Data Science Studio preferred)

• Professional experience with cloud technologies (AWS, Azure, SaaS, MLaaS, AIaaS)

• Proficiency in the use of scripting languages and ML platforms (Python, Spark, Snowpark, TensorFlow, R)

• Expert knowledge of SQL and databases. Experience with Snowflake preferred

• Demonstrated experience with containers (Kubernetes, Docker), Git

• Expert command of the English language, persuasive written and verbal communication, and an ability to

effectively tell stories with data

• Comfortable with steering ambiguous projects toward clear business goals, testable hypotheses, and action-oriented outcomes

• Ability to anticipate needs and prioritize projects in a fast-paced environment with tight deadlines and high-volume peaks while producing high-quality work

• Exemplary communication skills; oral and written, with ability to translate complex statistical and quantitative

analysis into simple real-real world inferences, telling the story through data, for both technical and nontechnical audiences

• Expert level analytical and problem-solving skills with attention to detail

Ability to motivate a team and operate effectively in an environment with high volumes and tight deadlines

across a variety of business partners and technical contributors

• Ability to translate business objectives into actionable analyses

• Advanced knowledge of Microsoft Office Suite

• Certification/License: Data Science related certifications required

Required:

• 8 years’ professional experience in a data science role, working with large amounts of data, and implementing end-to-end (inception to productization) solutions in the financial services industry

• 3+ years of managing and leading a high-performing team

• They MUST be a “working/hands-on” manager – working alongside their team

• CURRENTLY hands-on Data Science, Python, SQL, and Spark

• Proven experience surrounding member-centricity/customer-centricity/customer analytics

• Proven experience increasing revenue or engagement, optimizing processes

Some ways success will be measured:

• Engaging with stakeholders

• Building relationships

• Identifying questions to be addressed

• Building stories off the insights and how to implement them

• Driving a team of data scientists on specific milestones and timelines

• Formulate questions for stakeholders to continue to increase the business of team – meaning increasing the reach of advanced analytics in the organization

Challenges they may initially face or things that need to be done the 1st 30/60-days:

• You will need to get in tune with the stakeholder levels, they all stand at different levels and face different issues

• Get to know who your “client” is (stakeholder)

• Getting attuned with the team, leading effectively, report effectively, coach, and mentor

• Not looking for a number cruncher, looking for a problem solver

• People have come in with the mindset of asking what to do

Skills:

data science, financial services, python, SQL, Spark, customer analytics, member centricity

** Position is hybrid onsite Tuesday/Wednesday/Thursday and remote Monday/Friday

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.