At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
We are seeking an experienced Mid-Level Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the department’s strategy and manage complex projects with a focus on delivering high-impact results.Key Responsibilities:
Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy.
Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives.
Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes.
Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making.
Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes.
Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards.
Mentor junior data scientists, fostering a collaborative and growth-oriented team environment.
Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making.
Qualifications:
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience.
4-6 years of experience in data science, analytics, or quantitative modeling.
Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression.
Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools.
Familiarity with a range of machine learning libraries and frameworks such as NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and others listed below.
Experience with big data tools and techniques (e.g., PySpark, Dask, Vaex, Apache Airflow) is a plus.
Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery.
Proven ability to work collaboratively and influence business partners at all levels.
Key Tools and Libraries:
NumPy, Pandas, SciPy: Scientific computing, data analysis, and modeling.
scikit-learn, XGBoost, LightGBM, CatBoost: Predictive modeling, classification, regression, and large datasets.
TensorFlow, Keras, PyTorch: Deep learning, neural networks, distributed training.
Plotly, Matplotlib, Seaborn, Altair: Data visualization, interactive dashboards, statistical plots.
PySpark, Dask, Vaex: Big data processing and real-time data handling.
Apache Airflow, PyCaret: Machine learning automation, pipeline scheduling.
SpaCy, Hugging Face Transformers: Natural language processing and text analysis.
Why Join Allstate?
Be a key driver of data-centric business decisions and shape the future of our data science initiatives.
Work in a collaborative environment with opportunities to mentor and grow within the team.
Access to cutting-edge tools and technologies in a fast-paced, innovative Protection company.
Well respected work life balance.
Skills
Compensation
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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